feat(workflows): 工作流批量导入向导与元数据管理列表 (HEL-682 S4)

- WorkflowBatchImportWizard：目录扫描/多文件 → dry-run 逐文件报告 → 确认导入；
  warn 可补用途、需确认与 fail 项不导入不标可运行、重复导入全量 conflict 跳过
- WorkflowLibrary：view=meta 轻量列表（搜索/分类/模型/媒介/收藏/最近/启停/
  去重/批量标注），完整 JSON 仅操作时按需加载；试运行复用 WorkflowTestDialog；
  保留用途确认、输出指定、单文件导入等既有能力
- api/types：listMeta、convert、importBatch、importScanDry/Commit、touch、
  dedupe 客户端与 WorkflowMeta/转换报告类型；update 支持 favorite/tags/
  category/model_family
- i18n 130 键 ×7 语言；changelog

Co-authored-by: multica-agent <github@multica.ai>

calliope-backend/scripts/build_widget_orders.py

@@ -0,0 +1,128 @@
+"""Regenerate ``src/calliope/comfyui/ui_widget_orders.py`` (HEL-681).
+
+Offline widget-order registry for the UI→API converter. Sources, in priority:
+
+1. ``widgets_values_named`` instances across ``example_ComfyUI_workflows``
+   (including subgraph inner nodes) — the frontend serializes named widgets
+   in widget order, so the key order IS the serialization order;
+2. the repo's 10 ground-truth API exports (root ``*_API.json``) — scalar
+   input names in export order (control_after_generate entries are absent
+   there; the converter's walk skips them positionally).
+
+Run from anywhere inside the repo:
+    python scripts/build_widget_orders.py
+"""
+
+from __future__ import annotations
+
+import collections
+import json
+from pathlib import Path
+
+BACKEND = Path(__file__).resolve().parents[1]
+REPO = BACKEND.parent
+EXAMPLES = REPO / "example_ComfyUI_workflows"
+OUT = BACKEND / "src" / "calliope" / "comfyui" / "ui_widget_orders.py"
+
+BUTTONS = {"preview", "audioUI", "compare_view", "ToggleableColorPicker", "imagebrowser"}
+MAX_SIGNATURES = 3
+MAX_ORDER_LEN = 48
+
+# Hand-curated fallbacks for node classes the corpus never serializes with
+# names (classic core/custom widgets whose order is stable and public).
+CURATED: dict[str, list[list[str]]] = {
+    "PrimitiveNode": [["value"]],
+    "Seed (rgthree)": [["seed"]],
+}
+
+
+def _iter_ui_nodes() -> list[dict]:
+    nodes: list[dict] = []
+    for path in sorted(EXAMPLES.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue
+        nodes.extend(n for n in data["nodes"] if isinstance(n, dict))
+        for sub in data.get("definitions", {}).get("subgraphs", []) or []:
+            if isinstance(sub, dict):
+                nodes.extend(n for n in sub.get("nodes", []) or [] if isinstance(n, dict))
+    return nodes
+
+
+def _iter_api_workflows() -> list[dict]:
+    out: list[dict] = []
+    for path in sorted(EXAMPLES.glob("*_API.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if isinstance(data, dict) and "nodes" not in data:
+            out.append(data)
+    return out
+
+
+def main() -> None:
+    learned: dict[str, collections.Counter[tuple[str, ...]]] = collections.defaultdict(
+        collections.Counter
+    )
+    for node in _iter_ui_nodes():
+        named = node.get("widgets_values_named")
+        if not isinstance(named, dict) or not named:
+            continue
+        keys = tuple(
+            str(k) for k in named.keys() if k and k not in BUTTONS
+        )
+        if keys and len(keys) <= MAX_ORDER_LEN:
+            learned[str(node.get("type") or "")][keys] += 1
+
+    for workflow in _iter_api_workflows():
+        for node in workflow.values():
+            if not isinstance(node, dict):
+                continue
+            names = [
+                str(k)
+                for k, v in (node.get("inputs") or {}).items()
+                if not isinstance(v, list) and k and k not in BUTTONS
+            ]
+            if len(names) > MAX_ORDER_LEN:
+                continue
+            # Display nodes (PreviewAny…) carry zero scalar inputs — that
+            # empty order is real signal: their positional arrays are pure
+            # button leftovers and map to {}.
+            learned[str(node.get("class_type") or "")][tuple(names)] += 1
+
+    registry: dict[str, list[list[str]]] = {}
+    for node_type, counter in sorted(learned.items()):
+        if not node_type:
+            continue
+        orders: list[list[str]] = []
+        for signature, _count in counter.most_common(MAX_SIGNATURES):
+            orders.append(list(signature))
+        if orders:
+            registry[node_type] = orders
+    for node_type, orders in CURATED.items():
+        registry.setdefault(node_type, orders)
+
+    body = json.dumps(registry, ensure_ascii=False, indent=1, sort_keys=True)
+    OUT.write_text(
+        '"""GENERATED by scripts/build_widget_orders.py — do not edit by hand.\n'
+        "\n"
+        "Widget-order registry for the UI→API converter: class_type → candidate\n"
+        "widget name orders, learned from the repo's named-widget UI files and\n"
+        "ground-truth API exports (HEL-681).\n"
+        '"""\n'
+        "\n"
+        "from __future__ import annotations\n"
+        "\n"
+        f"WIDGET_ORDERS: dict[str, list[list[str]]] = {body}\n",
+        encoding="utf-8",
+    )
+    total = sum(len(o) for orders in registry.values() for o in orders)
+    print(f"wrote {OUT.name}: {len(registry)} node types, {total} orders total")
+
+
+if __name__ == "__main__":
+    main()

calliope-backend/scripts/ui_import_dryrun.py

@@ -0,0 +1,170 @@
+"""Generate the HEL-681 dry-run report over the repo's UI workflow library.
+
+Walks ``example_ComfyUI_workflows`` (or ``--root``), runs every file through
+the production converter + lint + parser pipeline (exactly what
+``POST /api/workflows/convert`` does, minus HTTP), and writes a JSON detail
+file plus a human-readable Markdown summary. Read-only: nothing is imported,
+no DB is touched.
+
+Usage:
+    python scripts/ui_import_dryrun.py [--root DIR] [--out PREFIX]
+"""
+
+from __future__ import annotations
+
+import argparse
+import collections
+import json
+import sys
+from pathlib import Path
+
+BACKEND = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(BACKEND / "src"))
+
+from calliope.comfyui.lint import workflow_warnings  # noqa: E402
+from calliope.comfyui.metadata import suggested_metadata  # noqa: E402
+from calliope.comfyui.parser import classify_usage  # noqa: E402
+from calliope.comfyui.ui_convert import convert_ui_workflow  # noqa: E402
+
+REPO = BACKEND.parent
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--root", default=str(REPO / "example_ComfyUI_workflows"))
+    parser.add_argument("--out", default=str(REPO / "dryrun_report"))
+    args = parser.parse_args()
+    root = Path(args.root)
+    out_prefix = Path(args.out)
+
+    entries = []
+    for path in sorted(root.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError) as exc:
+            entries.append(
+                {
+                    "source_path": str(path.relative_to(root)),
+                    "status": "fail",
+                    "issues": [{"code": "unreadable", "message": str(exc)}],
+                }
+            )
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue  # API-format / non-workflow files are out of scope
+        rel = str(path.relative_to(root))
+        result = convert_ui_workflow(data)
+        entry: dict = {
+            "source_path": rel,
+            "status": result.status,
+            "needs_confirmation": result.needs_confirmation,
+            "issues": [
+                {"node_id": i.node_id, "code": i.code, "level": i.level, "message": i.message}
+                for i in result.issues
+            ],
+        }
+        if result.workflow is not None:
+            entry["node_count"] = len(result.workflow)
+            entry["suggested"] = suggested_metadata(result.workflow, rel, data)
+            errors = [w for w in workflow_warnings(result.workflow) if w["level"] == "error"]
+            entry["lint_errors"] = [e["code"] for e in errors]
+            entry["importable"] = not result.needs_confirmation and not errors
+        else:
+            entry["importable"] = False
+        entries.append(entry)
+
+    counts = collections.Counter(e["status"] for e in entries)
+    code_counts = collections.Counter(
+        i["code"] for e in entries for i in e["issues"]
+    )
+    category_counts = collections.Counter(
+        (e.get("suggested") or {}).get("category") or "?" for e in entries
+    )
+    family_counts = collections.Counter(
+        (e.get("suggested") or {}).get("model_family") or "?" for e in entries
+    )
+    importable = sum(1 for e in entries if e.get("importable"))
+    needs_confirmation = sum(1 for e in entries if e["needs_confirmation"])
+    lint_blocked = [e for e in entries if e.get("lint_errors")]
+
+    detail = {
+        "root": str(root),
+        "total": len(entries),
+        "status_counts": dict(counts),
+        "issue_code_counts": dict(code_counts),
+        "importable": importable,
+        "needs_confirmation": needs_confirmation,
+        "lint_blocked": [e["source_path"] for e in lint_blocked],
+        "files": entries,
+    }
+    out_prefix.parent.mkdir(parents=True, exist_ok=True)
+    (out_prefix.with_suffix(".json")).write_text(
+        json.dumps(detail, ensure_ascii=False, indent=1), encoding="utf-8"
+    )
+
+    lines = [
+        "# HEL-681 工作流 UI→API 转换 dry-run 报告",
+        "",
+        f"- 扫描目录：`{root}`（根目录 10 个 API 格式旧文件不在本管线范围）",
+        f"- UI 格式文件总数：**{len(entries)}**",
+        f"- 转换结果：ok **{counts.get('ok', 0)}** / warn **{counts.get('warn', 0)}** / fail **{counts.get('fail', 0)}**",
+        f"- 其中「需人工确认」（控件无法可靠映射，禁止直接导入）：**{needs_confirmation}**",
+        f"- 通过转换＋lint 后可直接导入：**{importable}**",
+        f"- 转换成功但被现有 lint 拦截（导入时按阻止处理）：**{len(lint_blocked)}**",
+        "",
+        "## 分类分布（自动提取）",
+        "",
+        "| 分类 | 数量 |",
+        "|---|---|",
+    ]
+    for cat, n in sorted(category_counts.items()):
+        lines.append(f"| {cat} | {n} |")
+    lines += ["", "## 模型家族分布（自动提取）", "", "| 家族 | 数量 |", "|---|---|"]
+    for fam, n in sorted(family_counts.items(), key=lambda kv: -kv[1]):
+        lines.append(f"| {fam} | {n} |")
+    lines += ["", "## 问题代码统计", "", "| 代码 | 次数 | 含义 |", "|---|---|---|"]
+    meaning = {
+        "muted_input_dropped": "上游节点被静音，输入按未连接处理",
+        "variable_upstream_dropped": "Set/Get 变量上游被旁路，取值按未连接处理",
+        "get_without_set": "GetNode 没有同名 SetNode",
+        "widget_unmapped": "控件值无法可靠映射到输入名（需人工确认）",
+        "widget_order_mismatch": "控件数量与已知顺序不符（需人工确认）",
+        "no_output_node": "图中无已知输出节点，全部活跃节点保留待确认",
+        "cyclic_variable": "Set/Get 循环（FOR 循环流），该连线按未连接处理",
+        "dangling_link": "连线指向不存在的节点",
+    }
+    for code, n in code_counts.most_common():
+        lines.append(f"| `{code}` | {n} | {meaning.get(code, '')} |")
+    lines += ["", "## 需人工确认文件清单", ""]
+    for e in entries:
+        if e["needs_confirmation"]:
+            reasons = sorted({i["code"] for i in e["issues"]})[:3]
+            lines.append(f"- `{e['source_path']}`（{', '.join(reasons)}）")
+    lines += ["", "## lint 拦截文件清单", ""]
+    for e in lint_blocked:
+        lines.append(f"- `{e['source_path']}`（{', '.join(e['lint_errors'])}）")
+    lines += [
+        "",
+        "## 逐文件结果",
+        "",
+        "| 文件 | 状态 | 节点数 | 分类 | 模型家族 | 用途 | 问题 |",
+        "|---|---|---|---|---|---|---|",
+    ]
+    for e in entries:
+        sug = e.get("suggested") or {}
+        issues = collections.Counter(i["code"] for i in e["issues"])
+        issue_text = ", ".join(f"{c}×{n}" for c, n in issues.most_common(2)) or "-"
+        usage = sug.get("usage") or ("待定" if sug.get("usage_ambiguous") else "-")
+        lines.append(
+            f"| `{e['source_path']}` | {e['status']} | {e.get('node_count', '-')} "
+            f"| {sug.get('category') or '-'} | {sug.get('model_family') or '-'} "
+            f"| {usage} | {issue_text} |"
+        )
+    (out_prefix.with_suffix(".md")).write_text("\n".join(lines) + "\n", encoding="utf-8")
+    print(f"{len(entries)} files: {dict(counts)}, importable={importable}, nc={needs_confirmation}")
+    print(f"report → {out_prefix}.md / {out_prefix}.json")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

calliope-backend/src/calliope/comfyui/metadata.py

@@ -0,0 +1,160 @@
+"""Suggested workflow metadata for imports (HEL-681 / S2 data layer).
+
+Everything here derives from two honest sources: the repo directory the file
+came from (category) and the converted API graph itself (usage, media in/out,
+model family, note text). Per HEL-675's inventory, clean display names and
+tags stay human work — the suggestion is a starting point, never a guess that
+hides uncertainty.
+"""
+
+from __future__ import annotations
+
+import re
+from typing import Any
+
+from calliope.comfyui.parser import (
+    classify_usage,
+    parse_dynamic_inputs,
+    parse_dynamic_outputs,
+)
+
+# Repo top-level directory → (category key, display label). Directory names
+# are mapping sources only — they never surface to users verbatim.
+CATEGORY_DIRS: dict[str, tuple[str, str]] = {
+    "0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大": ("basic", "基础处理"),
+    "1-语音生成": ("audio_tts", "语音生成"),
+    "2-音乐生成": ("music", "音乐生成"),
+    "3-图像生成": ("image", "图像生成"),
+    "4-视频生成": ("video", "视频生成"),
+    "5-数字人": ("digital_human", "数字人"),
+    "6-动作迁移": ("motion_transfer", "动作迁移"),
+}
+
+# Evidence patterns → model family. Shared VAE/text-encoder files must NOT
+# count (HEL-675: Anima/Z-Image graphs reference qwen_image_vae and get
+# mislabeled Qwen — `qwen.?image(?!_vae)` is deliberate).
+_FAMILY_PATTERNS: tuple[tuple[str, str], ...] = (
+    (r"minimax[_\-]?(music|_audio)|MiniMaxMusic", "MiniMax-Music"),
+    (r"minimax.?h3|minimax_h3|h3[-_]realism|fl2v[aa]?", "MiniMax-H3"),
+    (r"ltx[-_.]?2", "LTX-2.5"),
+    (r"ltx", "LTX"),
+    (r"krea", "Krea2"),
+    (r"qwen.?image(?!_vae)|qwen_image_2|qwen2vl|qwen3vl|Qwen3?[-.]?ASR|qwen3?[-_.]?tts", "Qwen"),
+    (r"z[._-]?image", "Z-Image"),
+    (r"flux", "Flux"),
+    (r"\bwan", "Wan"),
+    (r"ace[_-]?step", "ACE-Step"),
+    (r"index[_-]?tts", "IndexTTS2"),
+    (r"anima[-_.]?(turbo|klein)", "Anima"),
+    (r"sdpose", "SDPose"),
+    (r"gemma", "Gemma"),
+    (r"instantmesh|instant_mesh", "InstantMesh"),
+    (r"hidream", "HiDream"),
+)
+_FAMILY_RE = [(re.compile(pat, re.IGNORECASE), fam) for pat, fam in _FAMILY_PATTERNS]
+
+# Main-model loaders dominate the vote: a UNET/checkpoint reference says far
+# more about the workflow's family than a shared VAE or text encoder does.
+_PRIMARY_LOADER_RE = re.compile(r"UNETLoader|CheckpointLoader|unet|diffusion_model", re.IGNORECASE)
+
+# Directory names that carry family evidence the files' own widget values
+# lack (HEL-675: 14 krea2 files reference no "krea" string at all).
+_FAMILY_DIRS = (
+    (re.compile(r"krea2", re.IGNORECASE), "Krea2"),
+    (re.compile(r"Minimax-h3|uncensored", re.IGNORECASE), "MiniMax-H3"),
+    (re.compile(r"Z-Image", re.IGNORECASE), "Z-Image"),
+    (re.compile(r"Qwen-Image", re.IGNORECASE), "Qwen"),
+    (re.compile(r"^Anima$", re.IGNORECASE), "Anima"),
+    (re.compile(r"Flux", re.IGNORECASE), "Flux"),
+)
+
+_NOTE_TYPES = frozenset({"Note", "MarkdownNote"})
+
+
+def category_from_source_path(source_path: str | None) -> tuple[str | None, str | None]:
+    """(category key, label) derived from the file's repo-relative path."""
+    if not source_path:
+        return None, None
+    head = source_path.replace("\\", "/").split("/", 1)[0]
+    return CATEGORY_DIRS.get(head, (None, None))
+
+
+def model_family_from(workflow: dict[str, Any], source_path: str | None = None) -> str | None:
+    """The graph's dominant model family: main-model loader references weigh
+    triple, other node evidence single, and the repo sub-directory adds a
+    strong vote for families the widget values don't spell out."""
+    votes: dict[str, int] = {}
+    for node in workflow.values():
+        if not isinstance(node, dict):
+            continue
+        class_type = str(node.get("class_type") or "")
+        blob = " ".join(
+            [class_type]
+            + [str(v) for v in (node.get("inputs") or {}).values() if isinstance(v, str)]
+        )
+        weight = 3 if _PRIMARY_LOADER_RE.search(blob) else 1
+        for pattern, family in _FAMILY_RE:
+            if pattern.search(blob):
+                votes[family] = votes.get(family, 0) + weight
+                break  # one vote per node: strongest family that node shows
+    if source_path:
+        parts = source_path.replace("\\", "/").split("/")
+        for part in parts[1:2]:
+            for pattern, family in _FAMILY_DIRS:
+                if pattern.search(part):
+                    votes[family] = votes.get(family, 0) + 2
+    if not votes:
+        return None
+    return max(votes.items(), key=lambda kv: kv[1])[0]
+
+
+def note_description(ui_workflow: dict[str, Any], limit: int = 160) -> str | None:
+    """First non-trivial author note as description material (never final copy)."""
+    for node in ui_workflow.get("nodes") or []:
+        if not isinstance(node, dict) or str(node.get("type")) not in _NOTE_TYPES:
+            continue
+        values = node.get("widgets_values")
+        text = values[0] if isinstance(values, list) and values else None
+        if isinstance(values, dict):
+            text = values.get("text") or next(iter(values.values()), None)
+        if isinstance(text, str):
+            text = text.strip()
+            if len(text) >= 8:
+                return text[:limit].strip()
+    return None
+
+
+def suggested_metadata(
+    converted: dict[str, Any],
+    source_path: str | None = None,
+    ui_workflow: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """The import suggestion bundle for one converted workflow."""
+    judgment = classify_usage(converted)
+    media_kinds = ("image", "image_list", "video", "video_list", "audio", "audio_list")
+    media_in = sorted(
+        {
+            entry["kind"].replace("_list", "")
+            for entry in parse_dynamic_inputs(converted)
+            if entry.get("kind") in media_kinds
+        }
+    )
+    media_out = sorted(
+        {
+            str(entry.get("kind"))
+            for entry in parse_dynamic_outputs(converted)
+            if entry.get("kind") in ("image", "video", "audio")
+        }
+    )
+    category, category_label = category_from_source_path(source_path)
+    return {
+        "kind": "video" if "video" in media_out and "image" not in media_out else "image",
+        "usage": judgment["usage"],
+        "usage_ambiguous": judgment["ambiguous"],
+        "category": category,
+        "category_label": category_label,
+        "model_family": model_family_from(converted, source_path),
+        "media_in": media_in,
+        "media_out": media_out,
+        "description": note_description(ui_workflow or {}),
+    }

calliope-backend/src/calliope/comfyui/ui_convert.py

@@ -0,0 +1,801 @@
+"""UI→API converter for ComfyUI workflow JSON (HEL-681 / S2 data layer).
+
+ComfyUI saves two formats: the editor ("UI") format with ``nodes``/``links``
+arrays, and the API ("prompt") format ``{node_id: {class_type, inputs}}`` the
+product executes. This module converts UI→API offline and deterministically:
+
+* links are rewritten through ``Reroute`` chains and bypassed (mode 4) nodes;
+* packed subgraph instances (frontend ≥1.x ``definitions.subgraphs``) expand
+  into their inner nodes under qualified ids ``<packed>:<inner>`` — the same
+  scheme ComfyUI itself exports;
+* widget values map through, in priority order: the node's serialized input
+  list (entries carrying a ``widget`` marker — authoritative, this corpus's
+  frontend version always writes them), the ``widgets_values_named`` dict,
+  then a generated registry of widget orders learned from the corpus and the
+  repo's ground-truth API exports (``ui_widget_orders``).
+
+Anything that cannot be mapped with certainty is reported as an issue and the
+file is flagged ``needs_confirmation`` — never silently guessed: a wrong
+widget order produces a runnable-looking workflow with swapped seed/steps,
+which is worse than an honest「需人工确认」.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any
+
+from calliope.comfyui.ui_widget_orders import WIDGET_ORDERS
+
+# Values of the frontend-only "control_after_generate" control that serializes
+# right after every seed-like INT widget (and is not a real server input).
+_CONTROL_MODES = frozenset({"fixed", "increment", "decrement", "randomize"})
+
+# Widget names that are pure UI buttons/previews — never serialized in
+# widgets_values (named dicts skip them too) and never API inputs.
+_BUTTON_WIDGETS = frozenset(
+    {"preview", "audioUI", "compare_view", "ToggleableColorPicker", "imagebrowser"}
+)
+
+# Leftover positional values that are provably action buttons, not data:
+# known labels, self-describing ids, or emoji-prefixed actions. Anything
+# else left over keeps the file in the needs-confirmation queue.
+_BUTTON_LEFTOVER_LABELS = frozenset({"Edit", "lanpaint_star_button"})
+_BUTTON_LEFTOVER_EMOJI = ("🖼", "🎬", "🎵", "➕", "🔁", "🗑", "📂", "🔎", "✨")
+
+
+def _is_button_leftover(value: Any) -> bool:
+    if value is None or value == "":
+        return True
+    if isinstance(value, str):
+        return (
+            value in _BUTTON_LEFTOVER_LABELS
+            or "button" in value.lower()
+            or value.startswith(_BUTTON_LEFTOVER_EMOJI)
+        )
+    return False
+
+# Virtual editor-only nodes. Links pass *through* reroute-style ones (see
+# _resolve_source); the rest are dropped from the graph entirely.
+_REROUTE_TYPES = frozenset({"Reroute", "Reroute (rgthree)"})
+# Frontend-virtual variable nodes: SetNode captures a value under a name,
+# GetNode reads it. Neither reaches the server — links through a Get resolve
+# to whatever its same-named Set captured (scope-local).
+_SET_TYPES = frozenset({"SetNode"})
+_GET_TYPES = frozenset({"GetNode"})
+_UI_ONLY_TYPES = frozenset(
+    {
+        "Note",
+        "MarkdownNote",
+        "Image Comparer (rgthree)",
+        "GH_ImageVideoComparer",
+        "Label (rgthree)",
+        "Fast Groups Bypasser (rgthree)",
+        "Fast Groups Muter (rgthree)",
+        "Fast Muter (rgthree)",
+        "FastGroupsBypassSwitch",
+        "Mute / Bypass Repeater (rgthree)",
+    }
+)
+
+# Server-side OUTPUT nodes: the closure roots. Learned from the repo's
+# ground-truth API exports (their unreferenced classes) + the corpus's
+# real save/preview sinks (SaveVideo/SaveImageAdvanced/… custom nodes).
+_OUTPUT_CLASSES = frozenset(
+    {
+        "SaveImage",
+        "PreviewImage",
+        "SaveImageAdvanced",
+        "SaveImageKJ",
+        "SaveAnimatedWEBP",
+        "SaveAnimatedPNG",
+        "SaveAnimatedGIF",
+        "SaveVideo",
+        "SaveAudio",
+        "SaveAudioMP3",
+        "SaveAudioAdvanced",
+        "PreviewAudio",
+        "MaskPreview",
+        "MaskPreview+",
+        "ImageAndMaskPreview",
+        "VHS_VideoCombine",
+        "easy saveVideo",
+        "easy multitrackProjectVideoCombine",
+        "easy multiTrackInfoOutput",
+        "easy multiTrackTaskOutput",
+        "easy compareVideos",
+        "easy compareImages",
+        "easy showText",
+        "easy imageWall",
+        "CR Prompt Text",
+        "PreviewAny",
+        "easy clearGpuUsed",
+        "easy clearCacheAll",
+        "easy showSpentTime",
+    }
+)
+
+MODE_ACTIVE = 0
+MODE_MUTED = 2
+MODE_BYPASSED = 4
+
+_SUBGRAPH_IN = -10  # pseudo-node id of a subgraph's boundary input
+_SUBGRAPH_OUT = -20  # pseudo-node id of a subgraph's boundary output
+
+
+@dataclass
+class ConvertIssue:
+    node_id: str
+    code: str
+    message: str
+    level: str = "warning"  # 'error' | 'warning'
+
+
+@dataclass
+class ConvertResult:
+    workflow: dict[str, Any] | None
+    status: str  # 'ok' | 'warn' | 'fail'
+    issues: list[ConvertIssue] = field(default_factory=list)
+
+    @property
+    def needs_confirmation(self) -> bool:
+        """Widget mapping uncertain — must not be imported as runnable."""
+        return any(
+            i.code in ("widget_unmapped", "widget_order_mismatch") for i in self.issues
+        )
+
+
+def _norm_link(link: Any) -> tuple[int, int, int, int, int, str] | None:
+    """(id, origin_id, origin_slot, target_id, target_slot, type) from either form."""
+    if isinstance(link, dict):
+        try:
+            return (
+                int(link["id"]),
+                int(link["origin_id"]),
+                int(link["origin_slot"]),
+                int(link["target_id"]),
+                int(link["target_slot"]),
+                str(link.get("type") or "*"),
+            )
+        except (KeyError, TypeError, ValueError):
+            return None
+    if isinstance(link, (list, tuple)) and len(link) >= 5:
+        try:
+            return (
+                int(link[0]),
+                int(link[1]),
+                int(link[2]),
+                int(link[3]),
+                int(link[4]),
+                str(link[5]) if len(link) > 5 and link[5] else "*",
+            )
+        except (TypeError, ValueError):
+            return None
+    return None
+
+
+def _is_seed_like(name: str) -> bool:
+    lowered = name.lower()
+    return lowered in ("seed", "noise_seed", "value", "rand_seed", "random_seed") or (
+        lowered.endswith("seed")
+    )
+
+
+def _is_upload_entry(name: str, type_: str) -> bool:
+    return type_.upper().endswith("UPLOAD") or name == "upload" or "UPLOAD" in type_.upper()
+
+
+class _Converter:
+    """One conversion run over a single UI-format document."""
+
+    def __init__(self, ui: dict[str, Any]) -> None:
+        self.ui = ui
+        self.issues: list[ConvertIssue] = []
+        self.subgraphs: dict[str, dict[str, Any]] = {
+            str(s.get("id")): s
+            for s in self.ui.get("definitions", {}).get("subgraphs", []) or []
+            if isinstance(s, dict)
+        }
+        # qualified id → UI node + owning scope
+        self.nodes: dict[str, dict[str, Any]] = {}
+        # scope key ('' for top level) → link table / node-id index / owner
+        self.scope_links: dict[str, dict[int, tuple[int, int, int, int, str]]] = {}
+        self.scope_ids: dict[str, dict[str, str]] = {}
+        self.scope_owner: dict[str, str] = {}
+        self._set_capture_cache: dict[str, dict[str, tuple[str, int]]] = {}
+        self._set_names: dict[str, set[str]] = {}
+        self._depth = 0
+        self._cycle_warned = False
+        self._set_building: set[str] = set()
+
+    # -------------------------------------------------------------- indexing
+    def _index_scope(self, scope: str, links: list[Any], owner: str | None) -> None:
+        table = self.scope_links.setdefault(scope, {})
+        for link in links or []:
+            norm = _norm_link(link)
+            if norm is not None:
+                table[norm[0]] = norm[1:]
+        self.scope_ids.setdefault(scope, {})
+        if owner is not None:
+            self.scope_owner[scope] = owner
+
+    def _flatten(
+        self, node: dict[str, Any], scope: str, prefix: str
+    ) -> None:
+        qualified = f"{prefix}{node.get('id')}"
+        self.nodes[qualified] = {"node": node, "scope": scope}
+        self.scope_ids.setdefault(scope, {})[str(node.get("id"))] = qualified
+        sub = self.subgraphs.get(str(node.get("type") or ""))
+        if sub is None:
+            return
+        if not isinstance(sub.get("nodes"), list):
+            self.issues.append(
+                ConvertIssue(qualified, "subgraph_bad_definition", "子图缺少内部节点定义")
+            )
+            return
+        sub_scope = f"{scope}|{node.get('type')}" if scope else f"{node.get('type')}"
+        if sub_scope not in self.scope_links:
+            self._index_scope(sub_scope, sub.get("links") or [], qualified)
+        for inner in sub["nodes"]:
+            if isinstance(inner, dict):
+                self._flatten(inner, sub_scope, f"{qualified}:")
+
+    # --------------------------------------------------------------- lookups
+    def _node(self, qualified: str) -> dict[str, Any] | None:
+        entry = self.nodes.get(qualified)
+        return entry["node"] if entry else None
+
+    def _scope(self, qualified: str) -> str:
+        entry = self.nodes.get(qualified)
+        return entry["scope"] if entry else ""
+
+    def _link(self, scope: str, link_id: Any) -> tuple[int, int, int, int, str] | None:
+        if link_id is None:
+            return None
+        try:
+            key = int(link_id)
+        except (TypeError, ValueError):
+            return None
+        return self.scope_links.get(scope, {}).get(key)
+
+    def _boundary_source(self, scope: str, link_id: Any) -> tuple[str, int] | None:
+        """(packed qualified id, boundary slot) when this link leaves a
+        subgraph through its -10 input boundary."""
+        link = self._link(scope, link_id)
+        if link is None or link[0] != _SUBGRAPH_IN:
+            return None
+        packed_q = self.scope_owner.get(scope)
+        if packed_q is None:
+            return None
+        return packed_q, link[1]
+
+    def _subgraph_of(self, qualified: str) -> dict[str, Any] | None:
+        node = self._node(qualified)
+        if node is None:
+            return None
+        return self.subgraphs.get(str(node.get("type") or ""))
+
+    @staticmethod
+    def _virtual_name(node: dict[str, Any]) -> str:
+        """A Set/Get node's captured variable name (its first widget value)."""
+        named = node.get("widgets_values_named")
+        if isinstance(named, dict):
+            for key in ("const_name", "name", "value"):
+                if key in named:
+                    return str(named[key])
+        values = node.get("widgets_values")
+        if isinstance(values, list) and values and isinstance(values[0], str):
+            return values[0]
+        return ""
+
+    def _set_captures(self, scope: str) -> dict[str, tuple[str, int]]:
+        """{variable name → resolved source} for the Set nodes in one scope."""
+        table = self._set_capture_cache.get(scope)
+        if table is not None:
+            return table
+        table = {}
+        # Seed before resolving: a Set feeding a same-named Get (FOR-loop
+        # graphs) would otherwise recurse into this builder forever. A miss
+        # while building is not a missing Set — never warn mid-construction.
+        self._set_capture_cache[scope] = table
+        self._set_building.add(scope)
+        try:
+            return self._build_set_captures(scope, table)
+        finally:
+            self._set_building.discard(scope)
+
+    def _build_set_captures(
+        self, scope: str, table: dict[str, tuple[str, int]]
+    ) -> dict[str, tuple[str, int]]:
+        names: set[str] = set()
+        for qualified, entry in self.nodes.items():
+            if entry["scope"] != scope:
+                continue
+            node = entry["node"]
+            if str(node.get("type") or "") not in _SET_TYPES:
+                continue
+            name = self._virtual_name(node)
+            if not name:
+                continue
+            names.add(name)
+            ins = self._inputs_of(node)
+            link = self._link(scope, ins[0].get("link")) if ins else None
+            resolved = self._resolve_link(scope, link)
+            if resolved is not None:
+                table.setdefault(name, resolved)
+        self._set_names[scope] = names
+        self._set_capture_cache[scope] = table
+        return table
+
+    @staticmethod
+    def _inputs_of(node: dict[str, Any]) -> list[dict[str, Any]]:
+        return [i for i in node.get("inputs") or [] if isinstance(i, dict)]
+
+    @staticmethod
+    def _outputs_of(node: dict[str, Any]) -> list[dict[str, Any]]:
+        return [o for o in node.get("outputs") or [] if isinstance(o, dict)]
+
+    # ------------------------------------------------------------- resolution
+    def _resolve_link(
+        self, scope: str, link: tuple[int, int, int, int, str] | None
+    ) -> tuple[str, int] | None:
+        """Resolve one link (in scope) to an API source (qualified id, slot)."""
+        if link is None:
+            return None
+        if self._depth > 200:  # Set/Get cycles (FOR-loop graphs) never unwind
+            if not self._cycle_warned:
+                self._cycle_warned = True
+                self.issues.append(
+                    ConvertIssue(
+                        "",
+                        "cyclic_variable",
+                        "变量/Set-Get 连线存在循环（常见于 FOR 循环流），该连线按未连接处理",
+                    )
+                )
+            return None
+        self._depth += 1
+        try:
+            return self._resolve_link_inner(scope, link)
+        finally:
+            self._depth -= 1
+
+    def _resolve_link_inner(
+        self, scope: str, link: tuple[int, int, int, int, str]
+    ) -> tuple[str, int] | None:
+        origin_id, origin_slot = link[0], link[1]
+        if origin_id == _SUBGRAPH_IN:
+            # Boundary: hand off to the packed instance's own input slot.
+            packed_q = self.scope_owner.get(scope)
+            if packed_q is None:
+                return None
+            node = self._node(packed_q)
+            if node is None:
+                return None
+            entries = self._inputs_of(node)
+            if origin_slot >= len(entries):
+                return None
+            entry = entries[origin_slot]
+            if entry.get("link") is None:
+                return None  # unlinked boundary → inner widget value applies
+            outer = self._scope(packed_q)
+            return self._resolve_link(outer, self._link(outer, entry.get("link")))
+        qualified = self.scope_ids.get(scope, {}).get(str(origin_id))
+        if qualified is None:
+            return None
+        return self._resolve_source(qualified, origin_slot)
+
+    def _resolve_source(self, qualified: str, slot: int) -> tuple[str, int] | None:
+        """What an outgoing edge from (node, output slot) really connects to."""
+        node = self._node(qualified)
+        if node is None:
+            return None
+        node_type = str(node.get("type") or "")
+        mode = node.get("mode") or 0
+        scope = self._scope(qualified)
+
+        if node_type in _UI_ONLY_TYPES:
+            return None
+
+        if node_type in _REROUTE_TYPES:
+            ins = self._inputs_of(node)
+            if not ins:
+                return None
+            return self._resolve_link(scope, self._link(scope, ins[0].get("link")))
+
+        if node_type in _SET_TYPES:
+            ins = self._inputs_of(node)
+            if not ins:
+                return None
+            return self._resolve_link(scope, self._link(scope, ins[0].get("link")))
+
+        if node_type in _GET_TYPES:
+            name = self._virtual_name(node)
+            captured = self._set_captures(scope).get(name)
+            if captured is None and scope not in self._set_building:
+                if name in self._set_names.get(scope, set()):
+                    self.issues.append(
+                        ConvertIssue(
+                            qualified,
+                            "variable_upstream_dropped",
+                            f"变量「{name}」的上游被旁路或未连接，取值按未连接处理",
+                        )
+                    )
+                else:
+                    self.issues.append(
+                        ConvertIssue(
+                            qualified,
+                            "get_without_set",
+                            f"变量节点「{name}」没有对应的 Set 节点",
+                        )
+                    )
+            return captured
+
+        sub = self._subgraph_of(qualified)
+        if sub is not None:
+            outputs = [o for o in sub.get("outputs") or [] if isinstance(o, dict)]
+            if slot >= len(outputs):
+                return None
+            sub_scope = f"{scope}|{node_type}" if scope else node_type
+            for link in self.scope_links.get(sub_scope, {}).values():
+                if link[2] == _SUBGRAPH_OUT and link[3] == slot:
+                    inner_q = self.scope_ids.get(sub_scope, {}).get(str(link[0]))
+                    return self._resolve_source(inner_q, link[1]) if inner_q else None
+            return None  # boundary output with no inner source
+
+        if mode == MODE_MUTED:
+            return None
+        if mode == MODE_BYPASSED:
+            return self._bypass_through(qualified, slot)
+        return (qualified, slot)
+
+    def _bypass_through(self, qualified: str, slot: int) -> tuple[str, int] | None:
+        """Pass-through of a bypassed node: same-name input first, then same-type."""
+        node = self._node(qualified)
+        if node is None:
+            return None
+        outputs = self._outputs_of(node)
+        out = outputs[slot] if slot < len(outputs) else {}
+        out_name = str(out.get("name") or "")
+        out_type = str(out.get("type") or "*")
+        linkable = [
+            e for e in self._inputs_of(node) if not e.get("widget") and e.get("link") is not None
+        ]
+        pick = None
+        if out_name:
+            pick = next((e for e in linkable if str(e.get("name") or "") == out_name), None)
+        if pick is None:
+            pick = next(
+                (
+                    e
+                    for e in linkable
+                    if out_type == "*" or str(e.get("type") or "*") in (out_type, "*")
+                ),
+                None,
+            )
+        if pick is None:
+            return None
+        scope = self._scope(qualified)
+        return self._resolve_link(scope, self._link(scope, pick.get("link")))
+
+    # --------------------------------------------------------- widget mapping
+    def _widget_entries(self, node: dict[str, Any]) -> list[tuple[str, str]]:
+        """[(name, type)] of entries carrying the ``widget`` marker, in order."""
+        out: list[tuple[str, str]] = []
+        for entry in self._inputs_of(node):
+            marker = entry.get("widget")
+            if isinstance(marker, dict):
+                name = str(marker.get("name") or entry.get("name") or "")
+                if name:
+                    out.append((name, str(entry.get("type") or "")))
+        return out
+
+    def _widgets_from_entries(
+        self,
+        node_id: str,
+        entries: list[tuple[str, str]],
+        values: Any,
+    ) -> tuple[dict[str, Any], list[ConvertIssue]]:
+        """Map widget values using the node's serialized input list."""
+        inputs: dict[str, Any] = {}
+        issues: list[ConvertIssue] = []
+        if isinstance(values, dict):
+            for name, type_ in entries:
+                if name in _BUTTON_WIDGETS or self._is_upload(name, type_):
+                    continue
+                if name in values:
+                    inputs[name] = values[name]
+                else:
+                    issues.append(
+                        ConvertIssue(node_id, "widget_unmapped", f"控件「{name}」没有序列化值")
+                    )
+            return inputs, issues
+        if not isinstance(values, list):
+            return inputs, issues
+        if not values:
+            return inputs, issues  # nothing serialized — server defaults apply
+        i = 0
+        for name, type_ in entries:
+            if name in _BUTTON_WIDGETS:
+                continue  # button widgets never serialize
+            if i >= len(values):
+                issues.append(
+                    ConvertIssue(node_id, "widget_order_mismatch", f"控件值数量不足（{name}）")
+                )
+                break
+            value = values[i]
+            i += 1
+            if self._is_upload(name, type_):
+                continue  # consumes a slot, never an API input
+            inputs[name] = value
+            if (
+                type_.upper() == "INT"
+                and _is_seed_like(name)
+                and i < len(values)
+                and values[i] in _CONTROL_MODES
+            ):
+                i += 1  # control_after_generate rides right after its seed
+        leftover_ok = all(_is_button_leftover(v) for v in values[i:])
+        if not issues and i != len(values) and not leftover_ok:
+            issues.append(
+                ConvertIssue(
+                    node_id,
+                    "widget_order_mismatch",
+                    f"有 {len(values)} 个控件值，输入清单只覆盖 {i} 个",
+                )
+            )
+        return inputs, issues
+
+    @staticmethod
+    def _is_upload(name: str, type_: str) -> bool:
+        return _is_upload_entry(name, type_)
+
+    def _widgets_from_registry(
+        self, node: dict[str, Any], values: list[Any]
+    ) -> tuple[dict[str, Any], list[ConvertIssue]]:
+        node_type = str(node.get("type") or "")
+        if not values:
+            return {}, []  # nothing serialized — server defaults apply
+        for order in WIDGET_ORDERS.get(node_type) or []:
+            inputs: dict[str, Any] = {}
+            i = 0
+            for name in order:
+                if name in _BUTTON_WIDGETS:
+                    continue
+                if i >= len(values):
+                    break
+                value = values[i]
+                i += 1
+                if _is_upload_entry(name, ""):
+                    continue
+                inputs[name] = value
+                if _is_seed_like(name) and i < len(values) and values[i] in _CONTROL_MODES:
+                    i += 1
+            if i == len(values) or all(_is_button_leftover(v) for v in values[i:]):
+                return inputs, []  # exact fit, or trailing button leftovers
+        return {}, [
+            ConvertIssue(
+                node.get("id", ""),
+                "widget_unmapped" if not WIDGET_ORDERS.get(node_type) else "widget_order_mismatch",
+                f"「{node_type}」的 {len(values)} 个控件值无法可靠对应到输入名",
+            )
+        ]
+
+    def _packed_widget_values(self, qualified: str) -> Any:
+        """Exposed widget values of a packed instance as {boundary name: value}."""
+        node = self._node(qualified)
+        sub = self._subgraph_of(qualified)
+        if node is None or sub is None:
+            return None
+        boundary = [i for i in sub.get("inputs") or [] if isinstance(i, dict)]
+        named = node.get("widgets_values_named")
+        if isinstance(named, dict):
+            return named
+        values = node.get("widgets_values")
+        if not isinstance(values, list):
+            return None
+        out: dict[str, Any] = {}
+        i = 0
+        for entry in boundary:
+            name = str(entry.get("name") or "")
+            type_ = str(entry.get("type") or "")
+            if name and i < len(values):
+                out[name] = values[i]
+            i += 1
+            if (
+                type_.upper() == "INT"
+                and _is_seed_like(name)
+                and i < len(values)
+                and values[i] in _CONTROL_MODES
+            ):
+                i += 1
+        return out
+
+    # -------------------------------------------------------------- serialize
+    def _serialize_node(self, qualified: str) -> dict[str, Any] | None:
+        node = self._node(qualified)
+        if node is None:
+            return None
+        node_type = str(node.get("type") or "")
+        if (
+            not node_type
+            or node_type in _UI_ONLY_TYPES
+            or node_type in _REROUTE_TYPES
+            or node_type in _SET_TYPES
+            or node_type in _GET_TYPES
+        ):
+            return None
+        scope = self._scope(qualified)
+        inputs: dict[str, Any] = {}
+
+        widget_values = node.get("widgets_values_named")
+        if not isinstance(widget_values, dict):
+            widget_values = node.get("widgets_values")
+        if self._subgraph_of(qualified) is not None:
+            widget_values = self._packed_widget_values(qualified)
+
+        widget_inputs: dict[str, Any] = {}
+        entries = self._widget_entries(node)
+        if widget_values is not None:
+            if entries:
+                widget_inputs, w_issues = self._widgets_from_entries(
+                    qualified, entries, widget_values
+                )
+                self.issues.extend(w_issues)
+            elif isinstance(widget_values, dict):
+                widget_inputs = {
+                    k: v for k, v in widget_values.items() if k not in _BUTTON_WIDGETS
+                }
+            elif isinstance(widget_values, list):
+                widget_inputs, w_issues = self._widgets_from_registry(node, widget_values)
+                self.issues.extend(w_issues)
+
+        for entry in self._inputs_of(node):
+            name = str(entry.get("name") or "")
+            if not name or name in inputs:
+                continue
+            if entry.get("link") is None:
+                continue  # unconnected optional input; widget values applied below
+            # Widget entries fed from the subgraph boundary (-10): when the
+            # packed instance left that boundary slot unlinked, the value is
+            # the packed node's own exposed widget value, not the inner one.
+            boundary = self._boundary_source(scope, entry.get("link"))
+            if boundary is not None:
+                packed_q, boundary_slot = boundary
+                packed_node = self._node(packed_q)
+                packed_entries = self._inputs_of(packed_node) if packed_node else []
+                if boundary_slot < len(packed_entries) and packed_entries[
+                    boundary_slot
+                ].get("link") is None:
+                    values = self._packed_widget_values(packed_q)
+                    boundary_name = str(packed_entries[boundary_slot].get("name") or "")
+                    if isinstance(values, dict) and boundary_name in values:
+                        inputs[name] = values[boundary_name]
+                        continue
+                # linked boundary falls through to normal resolution
+            link = self._link(scope, entry.get("link"))
+            if link is None:
+                self.issues.append(
+                    ConvertIssue(qualified, "dangling_link", f"输入「{name}」的连线不存在")
+                )
+                continue
+            resolved = self._resolve_link(scope, link)
+            if resolved is not None:
+                inputs[name] = [resolved[0], resolved[1]]
+            elif entry.get("widget"):
+                pass  # muted upstream: the widget value below takes over
+            else:
+                self.issues.append(
+                    ConvertIssue(
+                        qualified,
+                        "muted_input_dropped",
+                        f"输入「{name}」上游被静音，已按未连接处理",
+                    )
+                )
+
+        for name, value in widget_inputs.items():
+            inputs.setdefault(name, value)
+
+        api_node: dict[str, Any] = {"class_type": node_type, "inputs": inputs}
+        title = str(node.get("title") or "").strip()
+        if title:
+            api_node["_meta"] = {"title": title}
+        return api_node
+
+    # ------------------------------------------------------------------- main
+    def run(self) -> ConvertResult:
+        nodes = self.ui.get("nodes")
+        if not isinstance(nodes, list) or not nodes:
+            return ConvertResult(
+                None,
+                "fail",
+                [ConvertIssue("", "no_nodes", "文件不含 nodes 数组，不是 UI 格式工作流", "error")],
+            )
+        try:
+            self._index_scope("", self.ui.get("links") or [], None)
+            for node in nodes:
+                if isinstance(node, dict):
+                    self._flatten(node, "", "")
+        except RecursionError:
+            return ConvertResult(
+                None, "fail", [ConvertIssue("", "subgraph_recursion", "子图嵌套过深", "error")]
+            )
+
+        # Closure from known output nodes (ComfyUI's own graphToPrompt roots).
+        roots = [
+            q
+            for q, entry in self.nodes.items()
+            if str(entry["node"].get("type") or "") in _OUTPUT_CLASSES
+            and (entry["node"].get("mode") or 0) == MODE_ACTIVE
+        ]
+        keep: dict[str, None] = {}
+        stack = list(roots)
+        while stack:
+            qualified = stack.pop()
+            if qualified in keep:
+                continue
+            entry = self.nodes.get(qualified)
+            if entry is None:
+                continue
+            keep[qualified] = None
+            node = entry["node"]
+            scope = entry["scope"]
+            for e in self._inputs_of(node):
+                if e.get("link") is None:
+                    continue
+                link = self._link(scope, e.get("link"))
+                resolved = self._resolve_link(scope, link)
+                if resolved is not None:
+                    stack.append(resolved[0])
+
+        if not keep:
+            # No known output node: keep every active computed node and warn —
+            # the import lint will report the missing output separately.
+            for qualified, entry in self.nodes.items():
+                node = entry["node"]
+                node_type = str(node.get("type") or "")
+                if (
+                    node_type in _UI_ONLY_TYPES
+                    or node_type in _REROUTE_TYPES
+                    or (node.get("mode") or 0) != MODE_ACTIVE
+                    or self._subgraph_of(qualified) is not None
+                ):
+                    continue
+                keep[qualified] = None
+            self.issues.append(
+                ConvertIssue(
+                    "",
+                    "no_output_node",
+                    "图中没有已知输出节点（SaveImage / 视频合成等），"
+                    "全部活跃节点已保留，需人工确认",
+                )
+            )
+
+        workflow: dict[str, Any] = {}
+        for qualified in keep:
+            api_node = self._serialize_node(qualified)
+            if api_node is not None and api_node["class_type"]:
+                workflow[qualified] = api_node
+
+        if not workflow:
+            return ConvertResult(
+                None,
+                "fail",
+                self.issues or [ConvertIssue("", "empty", "转换后没有任何节点", "error")],
+            )
+        status = (
+            "fail"
+            if any(i.level == "error" for i in self.issues)
+            else ("ok" if not self.issues else "warn")
+        )
+        return ConvertResult(workflow, status, self.issues)
+
+
+def convert_ui_workflow(ui: dict[str, Any]) -> ConvertResult:
+    """Convert one ComfyUI UI-format workflow dict into API format."""
+    if not isinstance(ui, dict) or not isinstance(ui.get("nodes"), list):
+        return ConvertResult(
+            None,
+            "fail",
+            [ConvertIssue("", "not_ui_format", "不是 UI 格式（缺少 nodes 数组）", "error")],
+        )
+    return _Converter(ui).run()

calliope-backend/src/calliope/db.py

@@ -506,6 +506,27 @@ async def migrate_db(db_path: Path) -> None:
         conn.execute("ALTER TABLE workflows ADD COLUMN output_map TEXT")
     if "output_map_source" not in cols:
         conn.execute("ALTER TABLE workflows ADD COLUMN output_map_source TEXT")
+    # HEL-681 (S2): library metadata for 150+ scale workflow browsing. Purely
+    # additive columns — old rows stay NULL/0 and every legacy path ignores
+    # them; the lightweight list view (?view=meta) is their only reader.
+    if "category" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN category TEXT")
+    if "model_family" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN model_family TEXT")
+    if "media_io" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN media_io TEXT")
+    if "tags" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN tags TEXT")
+    if "favorite" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN favorite INTEGER NOT NULL DEFAULT 0")
+    if "last_used_at" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN last_used_at TIMESTAMP")
+    if "source" not in cols:
+        # where the row came from: 'ui_convert' (HEL-681 batch import) vs
+        # NULL = manual/API import as before.
+        conn.execute("ALTER TABLE workflows ADD COLUMN source TEXT")
+    if "source_path" not in cols:
+        conn.execute("ALTER TABLE workflows ADD COLUMN source_path TEXT")
     # Idempotent backfill: pending rows are re-judged on every boot (parser
     # upgrades can settle them); confirmed rows are never touched.
     _backfill_workflow_usage(conn)

calliope-backend/src/calliope/models/schemas.py

@@ -243,6 +243,55 @@ class WorkflowUpdate(BaseModel):
     # resets the workflow to pending confirmation.
     output_map: list[dict[str, Any]] | None = None
     output_map_source: Literal["auto", "user"] | None = None
+    # HEL-681 (S2): library metadata fields.
+    favorite: bool | None = None
+    tags: list[str] | None = None
+    category: str | None = None
+    model_family: str | None = None
+
+
+class WorkflowUIFileItem(BaseModel):
+    """One UI-format file for the HEL-681 convert/import pipeline."""
+
+    name: str | None = None
+    # repo-relative path (category/model-family evidence); display name
+    # defaults to the file stem.
+    source_path: str | None = None
+    workflow_json: dict[str, Any]
+    # optional human confirmations from the import wizard (S3): a settled
+    # usage and a corrected schema let warn files import enabled.
+    usage: WorkflowUsageKind | None = None
+    input_schema: list[dict[str, Any]] | None = None
+    output_map: list[dict[str, Any]] | None = None
+    description: str | None = None
+    tags: list[str] | None = None
+
+
+class WorkflowConvertRequest(BaseModel):
+    """Dry-run: per-file ok/warn/fail + suggested metadata, nothing stored."""
+
+    files: list[WorkflowUIFileItem]
+    # Include the converted API JSON per file (default on for small batches;
+    # the 146-file report leaves it off to keep the payload sane).
+    include_workflows: bool = False
+    # L2 preflight against a real ComfyUI (opt-in; needs a connection).
+    endpoint_id: str | None = None
+    refresh: bool = False
+
+
+class WorkflowImportBatchRequest(BaseModel):
+    """Commit: convert UI files and insert, skipping conflicts. Idempotent."""
+
+    files: list[WorkflowUIFileItem]
+
+
+class WorkflowImportScanRequest(BaseModel):
+    """Scan a server-side directory of UI JSONs (repo example library)."""
+
+    root: str = "example_ComfyUI_workflows"
+    # Set to preview what would import (same shape as /convert) — the safe
+    # default for a first run against the 146-file library.
+    dry_run: bool = True
 
 
 class WorkflowAnalyze(BaseModel):

calliope-backend/src/calliope/queue/manager.py

@@ -49,6 +49,12 @@ class QueueManager:
                 """,
                 (project_id, scene_id, clip_id, kind, workflow_id, json.dumps(payload), origin),
             )
+            # HEL-681: every enqueued job counts as a use (最近使用).
+            if workflow_id is not None:
+                conn.execute(
+                    "UPDATE workflows SET last_used_at = CURRENT_TIMESTAMP WHERE id = ?",
+                    (workflow_id,),
+                )
             conn.commit()
             row = conn.execute("SELECT * FROM jobs WHERE id = ?", (cur.lastrowid,)).fetchone()
             return row_to_dict(row)

calliope-backend/src/calliope/routers/workflows.py

@@ -7,6 +7,7 @@ from fastapi import APIRouter, HTTPException
 
 from calliope.comfyui.endpoints import client_for, endpoint_snapshot
 from calliope.comfyui.lint import blocking_problem, workflow_warnings
+from calliope.comfyui.metadata import suggested_metadata
 from calliope.comfyui.output_map import (
     auto_output_map,
     load_output_map,
@@ -23,6 +24,7 @@ from calliope.comfyui.parser import (
 from calliope.comfyui.preflight import check_workflow_against
 from calliope.comfyui.profiles import detect_prompt_profile
 from calliope.comfyui.roles import usage_to_kind
+from calliope.comfyui.ui_convert import convert_ui_workflow
 from calliope.comfyui.validate import validate_input_values
 from calliope.config import settings
 from calliope.db import get_db, row_to_dict
@@ -30,8 +32,12 @@ from calliope.events.bus import event_bus
 from calliope.models.schemas import (
     WorkflowAnalyze,
     WorkflowCheckRequest,
+    WorkflowConvertRequest,
     WorkflowCreate,
+    WorkflowImportBatchRequest,
+    WorkflowImportScanRequest,
     WorkflowTestRequest,
+    WorkflowUIFileItem,
     WorkflowUpdate,
 )
 from calliope.queue.manager import queue_manager
@@ -44,6 +50,14 @@ from calliope.queue.workflow_test import (
 
 router = APIRouter()
 
+# HEL-681: metadata columns the lightweight list view exposes (everything
+# except the heavy workflow_json / input_schema / output_map payloads).
+_META_COLUMNS = (
+    "id, name, kind, usage, is_enabled, category, model_family, media_io, tags,"
+    " favorite, last_used_at, description, source, source_path, prompt_profile,"
+    " created_at, endpoint_id, usage_source, output_map_source"
+)
+
 
 def _serialize_workflow(row: Any) -> dict[str, Any]:
     data = row_to_dict(row)
@@ -61,9 +75,21 @@ def _serialize_workflow(row: Any) -> dict[str, Any]:
     data["needs_mapping"] = (
         mapping_problem(data["workflow_json"], raw_map, data.get("output_map_source")) is not None
     )
+    # HEL-681: structured library metadata (raw JSON columns → values).
+    data["media_io"] = _load_json_col(data.get("media_io"), {"in": [], "out": []})
+    data["tags"] = _load_json_col(data.get("tags"), [])
+    data["favorite"] = bool(data.get("favorite"))
     return data
 
 
+def _load_json_col(raw: Any, default: Any) -> Any:
+    try:
+        value = json.loads(raw) if raw else None
+    except (json.JSONDecodeError, TypeError):
+        value = None
+    return value if value is not None else default
+
+
 async def _connection_check(
     endpoint_id: str | None, workflow_json: dict[str, Any], refresh: bool = False
 ) -> dict[str, Any]:
@@ -216,9 +242,31 @@ def _last_test_summary(job: dict[str, Any]) -> dict[str, Any]:
 
 
 @router.get("")
-async def list_workflows() -> list[dict[str, Any]]:
+async def list_workflows(view: str | None = None) -> list[dict[str, Any]]:
     conn = get_db(settings.db_path)
     try:
+        if view == "meta":
+            # HEL-681: metadata-only list for 150+ scale browsing — no
+            # workflow_json, no per-row re-parse. `needs_mapping` here is the
+            # cheap pending check (usage/output_map not yet settled); rows
+            # that never generated keep showing as pending exactly like the
+            # full view reports them.
+            rows = conn.execute(
+                f"SELECT {_META_COLUMNS} FROM workflows ORDER BY favorite DESC,"
+                " last_used_at DESC, id DESC"
+            ).fetchall()
+            out = []
+            for row in rows:
+                data = row_to_dict(row)
+                data["is_enabled"] = bool(data.get("is_enabled"))
+                data["favorite"] = bool(data.get("favorite"))
+                data["media_io"] = _load_json_col(data.get("media_io"), {"in": [], "out": []})
+                data["tags"] = _load_json_col(data.get("tags"), [])
+                data["needs_mapping"] = data.get("usage") is None or data.get(
+                    "output_map_source"
+                ) is None
+                out.append(data)
+            return out
         rows = conn.execute("SELECT * FROM workflows ORDER BY id DESC").fetchall()
         out = [_serialize_workflow(r) for r in rows]
         # 上次测试 state is read live from the newest test job per workflow —
@@ -395,6 +443,12 @@ async def update_workflow(workflow_id: int, payload: WorkflowUpdate) -> dict[str
         data = payload.model_dump(exclude_unset=True)
         if "is_enabled" in data and data["is_enabled"] is not None:
             data["is_enabled"] = 1 if data["is_enabled"] else 0
+        # HEL-681: library metadata patch fields (favorite/tags/category/
+        # model_family) — booleans to ints, lists to JSON text.
+        if "favorite" in data and data["favorite"] is not None:
+            data["favorite"] = 1 if data["favorite"] else 0
+        if data.get("tags") is not None:
+            data["tags"] = json.dumps(data["tags"])
         workflow_json = json.loads(existing["workflow_json"])
         # HEL-638: output_map payload. A non-empty list validates against the
         # stored JSON and becomes the user decision; an explicit empty list
@@ -600,3 +654,280 @@ async def delete_workflow(workflow_id: int) -> dict[str, bool]:
         return {"ok": True}
     finally:
         conn.close()
+
+
+# ---------------------------------------------------------------------------
+# HEL-681 (S2): UI→API conversion dry-run + batch import + repo scan.
+# The convert endpoint never writes; import-batch converts again server-side
+# and skips anything uncertain (needs_confirmation / lint-blocked / conflict)
+# — repeated runs import nothing new, so the batch is idempotent by design.
+# ---------------------------------------------------------------------------
+
+
+def _convert_one(item: WorkflowUIFileItem) -> tuple[dict[str, Any], dict[str, Any] | None]:
+    """(report, converted workflow) for one UI file — shared by every
+    convert/import path so the analysis can never drift between them."""
+    result = convert_ui_workflow(item.workflow_json)
+    stem = (
+        item.source_path.replace("\\", "/").rsplit("/", 1)[-1].removesuffix(".json")
+        if item.source_path
+        else None
+    )
+    name = item.name or stem or "未命名工作流"
+    report: dict[str, Any] = {
+        "name": name,
+        "source_path": item.source_path,
+        "status": result.status,
+        "needs_confirmation": result.needs_confirmation,
+        "issues": [
+            {"node_id": i.node_id, "code": i.code, "level": i.level, "message": i.message}
+            for i in result.issues
+        ],
+    }
+    if result.workflow is None:
+        report["importable"] = False
+        report["skip_reason"] = "转换失败：" + (
+            result.issues[0].message if result.issues else "未知错误"
+        )
+        return report, None
+    suggested = suggested_metadata(result.workflow, item.source_path, item.workflow_json)
+    report["suggested"] = suggested
+    # The import gate re-runs the product's own checks — a converted graph
+    # that the lint would block (missing model link etc.) is reported, not
+    # silently imported.
+    broken = blocking_problem(result.workflow)
+    if broken:
+        report["importable"] = False
+        report["skip_reason"] = broken
+        report["status"] = "warn"
+        return report, result.workflow
+    if result.needs_confirmation:
+        report["importable"] = False
+        report["skip_reason"] = "存在无法可靠映射的控件，需人工确认后重导"
+        return report, result.workflow
+    report["importable"] = True
+    return report, result.workflow
+
+
+@router.post("/convert")
+async def convert_workflows(payload: WorkflowConvertRequest) -> dict[str, Any]:
+    """Dry-run UI→API conversion for a batch of files: per-file ok/warn/fail,
+    issues, suggested metadata and importability. Nothing is stored."""
+    files = []
+    object_info: dict[str, Any] | None = None
+    client = None
+    if payload.endpoint_id:
+        endpoint = settings.resolve_comfyui_endpoint(payload.endpoint_id)
+        if endpoint is not None:
+            client = client_for(endpoint)
+            try:
+                object_info = await client.object_info(force_refresh=payload.refresh)
+            except Exception:
+                object_info = None
+    try:
+        for item in payload.files:
+            report, converted = _convert_one(item)
+            if object_info is not None and report.get("importable") and converted:
+                findings = check_workflow_against(object_info, converted)
+                errors = [f for f in findings if f.get("level") == "error"]
+                report["preflight"] = {
+                    "endpoint_id": payload.endpoint_id,
+                    "ok": not errors,
+                    "findings": findings,
+                }
+                if errors:
+                    report["importable"] = False
+                    report["skip_reason"] = errors[0].get("message") or "preflight 未通过"
+            if payload.include_workflows:
+                report["workflow_json"] = converted
+            files.append(report)
+    finally:
+        if client is not None:
+            await client.close()
+    counts = {key: sum(1 for f in files if f["status"] == key) for key in ("ok", "warn", "fail")}
+    return {
+        "total": len(files),
+        **counts,
+        "needs_confirmation": sum(1 for f in files if f["needs_confirmation"]),
+        "importable": sum(1 for f in files if f.get("importable")),
+        "files": files,
+    }
+
+
+def _insert_converted(
+    conn: Any, item: WorkflowUIFileItem, report: dict[str, Any], converted: dict[str, Any]
+) -> dict[str, Any]:
+    """Insert one converted workflow row (import-batch's write path).
+
+    Mirrors create_workflow's enable gate: usage must be settled (auto or the
+    wizard's confirmation) and unknown outputs need a mapping; anything less
+    lands disabled exactly like a manual import would.
+    """
+    suggested = report["suggested"]
+    judgment = classify_usage(converted)
+    usage = item.usage or judgment["usage"]
+    usage_source = "user" if item.usage else "auto"
+    kind = usage_to_kind(usage) or suggested["kind"]
+    profile = detect_prompt_profile(converted)
+    if item.output_map:
+        problems = validate_output_map(converted, item.output_map)
+        if problems:
+            raise HTTPException(status_code=422, detail="；".join(problems))
+        output_map = json.dumps(item.output_map)
+        output_map_source = "user"
+    else:
+        auto_map = auto_output_map(converted)
+        output_map = json.dumps(auto_map) if auto_map else None
+        output_map_source = "auto" if auto_map else None
+    mapping_ok = not needs_user_output_map(converted) or bool(item.output_map)
+    workflow_text = json.dumps(converted)
+    existing = conn.execute(
+        "SELECT id FROM workflows WHERE name = ? AND kind = ? AND workflow_json = ?",
+        (report["name"], kind, workflow_text),
+    ).fetchone()
+    if existing:
+        return {
+            "result": "skipped",
+            "skip_reason": "conflict",
+            "existing_id": existing["id"],
+        }
+    is_enabled = 1 if (usage and mapping_ok) else 0
+    cur = conn.execute(
+        """
+        INSERT INTO workflows (name, kind, workflow_json, input_schema, output_schema,
+                               description, prompt_profile, endpoint_id, is_enabled,
+                               usage, usage_source, output_map, output_map_source,
+                               category, model_family, media_io, tags, favorite,
+                               source, source_path)
+        VALUES (?, ?, ?, ?, ?, ?, ?, NULL, ?, ?, ?, ?, ?, ?, ?, ?, ?, 0, 'ui_convert', ?)
+        """,
+        (
+            report["name"],
+            kind,
+            workflow_text,
+            json.dumps(
+                item.input_schema if item.input_schema else parse_dynamic_inputs(converted)
+            ),
+            json.dumps(parse_dynamic_outputs(converted)),
+            item.description if item.description is not None else suggested["description"],
+            profile,
+            is_enabled,
+            usage,
+            usage_source,
+            output_map,
+            output_map_source,
+            suggested["category"],
+            suggested["model_family"],
+            json.dumps({"in": suggested["media_in"], "out": suggested["media_out"]}),
+            json.dumps(item.tags or []),
+            item.source_path,
+        ),
+    )
+    return {"result": "imported", "id": cur.lastrowid}
+
+
+async def _run_import(items: list[WorkflowUIFileItem]) -> dict[str, Any]:
+    reports: list[dict[str, Any]] = []
+    conn = get_db(settings.db_path)
+    try:
+        for item in items:
+            report, converted = _convert_one(item)
+            if not report.get("importable"):
+                report["result"] = "skipped"
+                reports.append(report)
+                continue
+            try:
+                outcome = _insert_converted(conn, item, report, converted)
+            except HTTPException as exc:
+                report["result"] = "failed"
+                report["skip_reason"] = str(exc.detail)
+                reports.append(report)
+                continue
+            conn.commit()
+            report.update(outcome)
+            reports.append(report)
+    finally:
+        conn.close()
+    imported = [r for r in reports if r.get("result") == "imported"]
+    skipped = [
+        {"name": r["name"], "source_path": r["source_path"], "reason": r.get("skip_reason")}
+        for r in reports
+        if r.get("result") != "imported"
+    ]
+    return {
+        "total": len(reports),
+        "imported": len(imported),
+        "skipped": len(skipped),
+        "imported_ids": [r["id"] for r in imported],
+        "skipped_files": skipped,
+        "files": reports,
+    }
+
+
+@router.post("/import-batch")
+async def import_workflows_batch(payload: WorkflowImportBatchRequest) -> dict[str, Any]:
+    """Batch-import UI-format workflows: convert server-side, insert what is
+    cleanly convertible, skip conflicts and anything uncertain. Re-running
+    with the same files creates zero new rows."""
+    return await _run_import(payload.files)
+
+
+@router.post("/import-scan")
+async def import_workflows_scan(payload: WorkflowImportScanRequest) -> dict[str, Any]:
+    """Scan a server-side directory for UI-format workflow JSONs and run the
+    convert (dry_run, default) or import pipeline over every file found."""
+    from pathlib import Path
+
+    root = Path(payload.root)
+    if not root.is_absolute():
+        candidates = [
+            Path.cwd() / root,
+            Path(__file__).resolve().parents[4] / root,
+        ]
+        root = next((c for c in candidates if c.is_dir()), root)
+    if not root.is_dir():
+        raise HTTPException(status_code=404, detail=f"目录不存在：{payload.root}")
+    items: list[WorkflowUIFileItem] = []
+    for path in sorted(root.rglob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except (json.JSONDecodeError, OSError):
+            continue
+        if not (isinstance(data, dict) and isinstance(data.get("nodes"), list)):
+            continue  # API-format or non-workflow files: not this pipeline's job
+        items.append(
+            WorkflowUIFileItem(
+                source_path=str(path.relative_to(root)), workflow_json=data
+            )
+        )
+    if payload.dry_run:
+        files = [_convert_one(item)[0] for item in items]
+        counts = {
+            key: sum(1 for f in files if f["status"] == key) for key in ("ok", "warn", "fail")
+        }
+        return {
+            "total": len(files),
+            **counts,
+            "needs_confirmation": sum(1 for f in files if f["needs_confirmation"]),
+            "importable": sum(1 for f in files if f.get("importable")),
+            "files": files,
+        }
+    return await _run_import(items)
+
+
+@router.post("/{workflow_id}/touch")
+async def touch_workflow(workflow_id: int) -> dict[str, bool]:
+    """Record a use (最近使用) — called by the generate pipeline on enqueue."""
+    conn = get_db(settings.db_path)
+    try:
+        row = conn.execute("SELECT id FROM workflows WHERE id = ?", (workflow_id,)).fetchone()
+        if not row:
+            raise HTTPException(status_code=404, detail="Workflow not found")
+        conn.execute(
+            "UPDATE workflows SET last_used_at = CURRENT_TIMESTAMP WHERE id = ?",
+            (workflow_id,),
+        )
+        conn.commit()
+        return {"ok": True}
+    finally:
+        conn.close()

calliope-backend/tests/test_ui_convert.py

@@ -0,0 +1,449 @@
+"""HEL-681: UI→API converter unit tests + ground-truth cross-checks.
+
+The synthetic graphs pin the structural semantics (reroute / bypass / mute /
+subgraph expansion / Set-Get variables / control_after_generate pairing);
+the corpus section runs the real 146-file library and the repo's API exports.
+"""
+
+from __future__ import annotations
+
+import copy
+import json
+from pathlib import Path
+
+import pytest
+
+from calliope.comfyui.lint import workflow_warnings
+from calliope.comfyui.ui_convert import convert_ui_workflow
+
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _node(nid, ntype, *, mode=0, inputs=None, outputs=None, wv=None, wvn=None, title=None):
+    node = {"id": nid, "type": ntype, "mode": mode, "inputs": inputs or [], "order": 0}
+    if outputs is not None:
+        node["outputs"] = outputs
+    if wv is not None:
+        node["widgets_values"] = wv
+    if wvn is not None:
+        node["widgets_values_named"] = wvn
+    if title:
+        node["title"] = title
+    return node
+
+
+def _in_slot(name, type_, link=None, widget=None):
+    entry = {"name": name, "type": type_, "link": link}
+    if widget:
+        entry["widget"] = {"name": widget}
+    return entry
+
+
+def _out(name, type_, links=None):
+    return {"name": name, "type": type_, "links": links or [], "slot_index": 0}
+
+
+def _base_graph():
+    """text2image: loader → prompts/latent → KSampler → VAE → SaveImage."""
+    nodes = [
+        _node(
+            1,
+            "CheckpointLoaderSimple",
+            outputs=[_out("MODEL", "MODEL"), _out("CLIP", "CLIP"), _out("VAE", "VAE")],
+            wv=["model.safetensors"],
+            inputs=[_in_slot("ckpt_name", "COMBO", widget="ckpt_name")],
+        ),
+        _node(
+            2,
+            "CLIPTextEncode",
+            inputs=[
+                _in_slot("clip", "CLIP", link=1),
+                _in_slot("text", "STRING", widget="text"),
+            ],
+            outputs=[_out("CONDITIONING", "CONDITIONING")],
+            wv=["a cat"],
+        ),
+        _node(
+            3,
+            "CLIPTextEncode",
+            inputs=[
+                _in_slot("clip", "CLIP", link=2),
+                _in_slot("text", "STRING", widget="text"),
+            ],
+            outputs=[_out("CONDITIONING", "CONDITIONING")],
+            wv=["bad quality"],
+        ),
+        _node(
+            4,
+            "EmptyLatentImage",
+            inputs=[
+                _in_slot("width", "INT", widget="width"),
+                _in_slot("height", "INT", widget="height"),
+                _in_slot("batch_size", "INT", widget="batch_size"),
+            ],
+            outputs=[_out("LATENT", "LATENT")],
+            wv=[512, 512, 1],
+        ),
+        _node(
+            5,
+            "KSampler",
+            inputs=[
+                _in_slot("model", "MODEL", link=3),
+                _in_slot("positive", "CONDITIONING", link=4),
+                _in_slot("negative", "CONDITIONING", link=5),
+                _in_slot("latent_image", "LATENT", link=6),
+                _in_slot("seed", "INT", widget="seed"),
+                _in_slot("steps", "INT", widget="steps"),
+                _in_slot("cfg", "FLOAT", widget="cfg"),
+                _in_slot("sampler_name", "COMBO", widget="sampler_name"),
+                _in_slot("scheduler", "COMBO", widget="scheduler"),
+                _in_slot("denoise", "FLOAT", widget="denoise"),
+            ],
+            outputs=[_out("LATENT", "LATENT")],
+            # seed 42 + control "fixed" rides together, then five widgets
+            wv=[42, "fixed", 20, 7, "euler", "normal", 1.0],
+        ),
+        _node(
+            6,
+            "VAEDecode",
+            inputs=[
+                _in_slot("samples", "LATENT", link=7),
+                _in_slot("vae", "VAE", link=8),
+            ],
+            outputs=[_out("IMAGE", "IMAGE")],
+        ),
+        _node(
+            7,
+            "SaveImage",
+            inputs=[
+                _in_slot("images", "IMAGE", link=9),
+                _in_slot("filename_prefix", "STRING", widget="filename_prefix"),
+            ],
+            wv=["test"],
+        ),
+    ]
+    links = [
+        [1, 1, 1, 2, 0, "CLIP"],
+        [2, 1, 1, 3, 0, "CLIP"],
+        [3, 1, 0, 5, 0, "MODEL"],
+        [4, 2, 0, 5, 1, "CONDITIONING"],
+        [5, 3, 0, 5, 2, "CONDITIONING"],
+        [6, 4, 0, 5, 3, "LATENT"],
+        [7, 5, 0, 6, 0, "LATENT"],
+        [8, 1, 2, 6, 1, "VAE"],
+        [9, 6, 0, 7, 0, "IMAGE"],
+    ]
+    return {"nodes": nodes, "links": links, "last_node_id": 7, "last_link_id": 9}
+
+
+def _convert(graph):
+    return convert_ui_workflow(graph)
+
+
+def test_clean_conversion_maps_everything():
+    result = _convert(_base_graph())
+    assert result.status == "ok"
+    assert result.needs_confirmation is False
+    wf = result.workflow
+    assert set(wf) == {"1", "2", "3", "4", "5", "6", "7"}
+    ks = wf["5"]
+    assert ks["class_type"] == "KSampler"
+    assert ks["inputs"]["seed"] == 42  # control_after_generate consumed silently
+    assert ks["inputs"]["steps"] == 20
+    assert ks["inputs"]["denoise"] == 1.0
+    assert ks["inputs"]["model"] == ["1", 0]
+    assert ks["inputs"]["latent_image"] == ["4", 0]
+    # lint on the converted graph must be error-free
+    assert not [w for w in workflow_warnings(wf) if w["level"] == "error"]
+
+
+def test_upload_button_widgets_are_consumed_but_never_emitted():
+    graph = _base_graph()
+    load = _node(
+        8,
+        "LoadImage",
+        inputs=[
+            _in_slot("image", "COMBO", widget="image"),
+            _in_slot("upload", "IMAGEUPLOAD", widget="upload"),
+        ],
+        outputs=[_out("IMAGE", "IMAGE")],
+        wv=["sample.png", "image"],
+    )
+    save = _node(
+        9,
+        "PreviewImage",
+        inputs=[
+            _in_slot("images", "IMAGE", link=20),
+            _in_slot("filename_prefix", "STRING", widget="filename_prefix"),
+        ],
+        wv=["preview"],
+    )
+    graph["nodes"] += [load, save]
+    graph["links"].append([20, 8, 0, 9, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.workflow["8"]["inputs"] == {"image": "sample.png"}
+
+
+def test_reroute_pass_through():
+    graph = _base_graph()
+    reroute = _node(8, "Reroute", inputs=[_in_slot("(in)", "*", link=9)])
+    graph["nodes"].append(reroute)
+    # SaveImage now fed by the reroute instead of VAEDecode directly
+    graph["nodes"][6]["inputs"][0]["link"] = 10
+    graph["links"].append([10, 8, 0, 7, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.workflow["7"]["inputs"]["images"] == ["6", 0]
+    assert "8" not in result.workflow
+
+
+def test_bypass_pass_through_and_mute_drop():
+    graph = _base_graph()
+    # bypass the KSampler: VAEDecode.samples must fall back to the latent
+    graph["nodes"][4]["mode"] = 4
+    result = _convert(graph)
+    assert result.workflow["6"]["inputs"]["samples"] == ["4", 0]
+    # mute the negative prompt: the link input is dropped with a warning
+    graph = _base_graph()
+    graph["nodes"][2]["mode"] = 2
+    result = _convert(graph)
+    assert "negative" not in result.workflow["5"]["inputs"]
+    assert any(i.code == "muted_input_dropped" for i in result.issues)
+
+
+def test_widget_entry_with_muted_upstream_falls_back_to_value():
+    graph = _base_graph()
+    # feed seed from a muted PrimitiveInt via a converted widget input
+    prim = _node(
+        9,
+        "PrimitiveInt",
+        mode=2,
+        inputs=[_in_slot("value", "INT", widget="value"), _in_slot("control", "COMBO", widget="control")],
+        wv=[7],
+    )
+    graph["nodes"].append(prim)
+    graph["nodes"][4]["inputs"][4]["link"] = 11  # seed ← primitive
+    graph["links"].append([11, 9, 0, 5, 4, "INT"])
+    result = _convert(graph)
+    assert result.workflow["5"]["inputs"]["seed"] == 42
+
+
+def test_subgraph_expansion_and_boundary_wiring():
+    graph = _base_graph()
+    # pack the EmptyLatentImage into a subgraph exposing width/height widgets
+    del graph["nodes"][3]
+    graph["nodes"] = [n for n in graph["nodes"] if n["id"] != 4]
+    sub_id = "aaaa-bbbb-cccc-dddd-eeee"
+    packed = _node(
+        20,
+        sub_id,
+        inputs=[
+            _in_slot("width", "INT", widget="width"),
+            _in_slot("height", "INT", widget="height"),
+        ],
+        outputs=[_out("LATENT", "LATENT")],
+        wv=[640, 384],
+    )
+    graph["nodes"].append(packed)
+    # KSampler latent_image ← packed output
+    graph["links"] = [l for l in graph["links"] if l[0] != 6]
+    graph["links"].append([6, 20, 0, 5, 3, "LATENT"])
+    graph["definitions"] = {
+        "subgraphs": [
+            {
+                "id": sub_id,
+                "name": "Latent",
+                "inputs": [
+                    {"name": "width", "type": "INT"},
+                    {"name": "height", "type": "INT"},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT"}],
+                "inputNode": {"id": -10},
+                "outputNode": {"id": -20},
+                "nodes": [
+                    _node(
+                        5,
+                        "EmptyLatentImage",
+                        inputs=[
+                            _in_slot("width", "INT", widget="width", link=101),
+                            _in_slot("height", "INT", widget="height", link=102),
+                            _in_slot("batch_size", "INT", widget="batch_size"),
+                        ],
+                        outputs=[_out("LATENT", "LATENT")],
+                        wv=[512, 512, 1],
+                    ),
+                ],
+                "links": [
+                    {"id": 101, "origin_id": -10, "origin_slot": 0, "target_id": 5, "target_slot": 0, "type": "INT"},
+                    {"id": 102, "origin_id": -10, "origin_slot": 1, "target_id": 5, "target_slot": 1, "type": "INT"},
+                    {"id": 103, "origin_id": 5, "origin_slot": 0, "target_id": -20, "target_slot": 0, "type": "LATENT"},
+                ],
+            }
+        ]
+    }
+    result = _convert(graph)
+    wf = result.workflow
+    assert "20:5" in wf  # qualified packed:inner id, ComfyUI's own scheme
+    inner = wf["20:5"]
+    assert inner["class_type"] == "EmptyLatentImage"
+    # exposed widget values from the packed instance, not the inner defaults
+    assert inner["inputs"]["width"] == 640
+    assert inner["inputs"]["height"] == 384
+    assert inner["inputs"]["batch_size"] == 1
+    assert wf["5"]["inputs"]["latent_image"] == ["20:5", 0]
+    # now wire the packed width slot from outside: boundary becomes a link
+    res_node = _node(
+        21,
+        "ResolutionSelector",
+        inputs=[_in_slot("aspect_ratio", "COMBO", widget="aspect_ratio")],
+        outputs=[_out("width", "INT"), _out("height", "INT")],
+        wv=["1:1"],
+    )
+    graph["nodes"].append(res_node)
+    graph["nodes"][-2]["inputs"][0]["link"] = 12  # packed width ← selector
+    graph["links"].append([12, 21, 0, 20, 0, "INT"])
+    wf2 = _convert(graph).workflow
+    assert wf2["20:5"]["inputs"]["width"] == ["21", 0]
+    assert wf2["20:5"]["inputs"]["height"] == 384
+
+
+def test_set_get_variables_resolve_to_captured_source():
+    graph = _base_graph()
+    setter = _node(8, "SetNode", inputs=[_in_slot("*", "*", link=8)], wv=["the_vae"])
+    getter = _node(9, "GetNode", wv=["the_vae"], outputs=[_out("VAE", "VAE")])
+    graph["nodes"] += [setter, getter]
+    # VAEDecode.vae now fed via the variable
+    graph["nodes"][5]["inputs"][1]["link"] = 13
+    graph["links"] = [l for l in graph["links"] if l[0] != 8]
+    graph["links"] += [
+        [8, 1, 2, 8, 0, "VAE"],
+        [13, 9, 0, 6, 1, "VAE"],
+    ]
+    result = _convert(graph)
+    assert "8" not in result.workflow and "9" not in result.workflow
+    assert result.workflow["6"]["inputs"]["vae"] == ["1", 2]
+
+
+def test_unknown_widget_order_lands_in_needs_confirmation():
+    graph = _base_graph()
+    # an old-frontend node: positional widgets, no widget markers, no registry
+    graph["nodes"].append(
+        _node(10, "MysteryCustomNode", inputs=[], outputs=[_out("IMAGE", "IMAGE")], wv=[1, 2, 3])
+    )
+    save = _node(
+        11,
+        "PreviewImage",
+        inputs=[_in_slot("images", "IMAGE", link=30)],
+        wv=["preview"],
+    )
+    graph["nodes"].append(save)
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    result = _convert(graph)
+    assert result.needs_confirmation is True
+    assert any(i.code == "widget_unmapped" for i in result.issues)
+    # the node is still converted structurally — the report carries the doubt
+    assert "10" in result.workflow
+
+
+def test_not_ui_format_fails_fast():
+    result = convert_ui_workflow({"3": {"class_type": "SaveImage", "inputs": {}}})
+    assert result.status == "fail"
+    assert result.workflow is None
+
+
+# ---------------------------------------------------------------------------
+# Real corpus: the 146 UI files + ground-truth API cross-checks (对拍).
+# ---------------------------------------------------------------------------
+
+pytestmark_convert = pytest.mark.skipif(
+    not EXAMPLES.is_dir(), reason="example_ComfyUI_workflows not checked out"
+)
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_corpus_146_files_all_convert():
+    ui_files = [
+        p
+        for p in sorted(EXAMPLES.rglob("*.json"))
+        if isinstance(json.loads(p.read_text(encoding="utf-8")), dict)
+        and isinstance(json.loads(p.read_text(encoding="utf-8")).get("nodes"), list)
+    ]
+    assert len(ui_files) == 146
+    statuses = {"ok": 0, "warn": 0, "fail": 0}
+    needs_confirmation = 0
+    for path in ui_files:
+        data = json.loads(path.read_text(encoding="utf-8"))
+        result = convert_ui_workflow(data)
+        statuses[result.status] += 1
+        needs_confirmation += result.needs_confirmation
+        assert result.workflow, f"{path.name} produced no workflow"
+        # structural sanity: no dangling links in any conversion
+        nodes = result.workflow
+        for nid, node in nodes.items():
+            for name, val in node.get("inputs", {}).items():
+                if isinstance(val, list):
+                    assert str(val[0]) in nodes, f"{path.name}: {nid}.{name} dangles"
+    assert statuses["fail"] == 0
+    assert statuses["ok"] + statuses["warn"] == 146
+    # files whose widget order cannot be trusted are flagged, never hidden
+    assert 0 < needs_confirmation < 10
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_cross_check_against_ground_truth_exports():
+    """The H3 t2v UI export converts to the same node classes the author's
+    own API export carries; shared classes agree on scalar input names."""
+    ui = json.loads(
+        (EXAMPLES / "4-视频生成/Minimax-h3/minimax_h3_t2v_文生视频.json").read_text(encoding="utf-8")
+    )
+    api = json.loads(
+        (EXAMPLES / "minimax_h3-Turbo_Text2Video_20260813_API.json").read_text(encoding="utf-8")
+    )
+    result = convert_ui_workflow(ui)
+    assert result.status in ("ok", "warn")
+    converted = result.workflow
+    api_classes = {n["class_type"] for n in api.values()}
+    # Every scalar name the conversion emits for a shared class must be an
+    # input name the author's own export knows — wiring may differ between
+    # versions (a muted branch falls back to its widget value), but the NAME
+    # mapping must never invent or swap inputs.
+    for cls in api_classes & {n["class_type"] for n in converted.values()}:
+        api_names = {
+            key
+            for n in api.values()
+            if n["class_type"] == cls
+            for key in n.get("inputs", {})
+        }
+        conv_names = {
+            key
+            for n in converted.values()
+            if n["class_type"] == cls
+            for key, v in n.get("inputs", {}).items()
+            if not isinstance(v, list)
+        }
+        assert conv_names <= api_names, f"class {cls} invents inputs: {conv_names - api_names}"
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_packed_krea2_conversion_shape_matches_export_scheme():
+    """The krea2 turbo file (packed subgraph) converts ok, expands inner nodes
+    under `<packed>:<inner>` ids and maps the sampler widgets exactly — the
+    same scheme the author's own Krea2 API export uses (ids like "171:153")."""
+    ui = json.loads(
+        (EXAMPLES / "3-图像生成/krea2/krea2_turbo_文生图.json").read_text(encoding="utf-8")
+    )
+    api = json.loads(
+        (EXAMPLES / "Krea2_t2i_20260818_API.json").read_text(encoding="utf-8")
+    )
+    result = convert_ui_workflow(ui)
+    assert result.status == "ok"
+    assert any(":" in nid for nid in result.workflow)  # expanded subgraph nodes
+    assert any("171:" in nid for nid in api)  # ground truth uses the same scheme
+    ks = [
+        n
+        for n in result.workflow.values()
+        if n["class_type"] == "KSampler" and not isinstance(n["inputs"].get("seed"), list)
+    ]
+    assert ks, "inner KSampler with widget-mapped seed expected"
+    assert {"seed", "steps", "cfg", "sampler_name", "scheduler", "denoise"} <= set(
+        ks[0]["inputs"]
+    )

calliope-backend/tests/test_workflow_import_batch.py

@@ -0,0 +1,421 @@
+"""HEL-681 (S2): batch import endpoints, meta list view, migration safety.
+
+Everything runs on a temp DB via the shared client fixture — the real
+146-file library is never touched, matching the card's「不导入生产数据」boundary.
+"""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from pathlib import Path
+
+from calliope.db import migrate_db
+
+import pytest
+
+
+EXAMPLES = Path(__file__).resolve().parents[2] / "example_ComfyUI_workflows"
+
+
+def _ui_graph():
+    """Minimal clean t2i UI graph (same shape as test_ui_convert's)."""
+    return {
+        "nodes": [
+            {
+                "id": 1,
+                "type": "CheckpointLoaderSimple",
+                "mode": 0,
+                "inputs": [{"name": "ckpt_name", "type": "COMBO", "widget": {"name": "ckpt_name"}, "link": None}],
+                "outputs": [
+                    {"name": "MODEL", "type": "MODEL", "links": [3], "slot_index": 0},
+                    {"name": "CLIP", "type": "CLIP", "links": [1, 2], "slot_index": 1},
+                    {"name": "VAE", "type": "VAE", "links": [8], "slot_index": 2},
+                ],
+                "widgets_values": ["qwen_image_2.safetensors"],
+            },
+            {
+                "id": 2,
+                "type": "CLIPTextEncode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "clip", "type": "CLIP", "link": 1},
+                    {"name": "text", "type": "STRING", "widget": {"name": "text"}, "link": None},
+                ],
+                "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [4], "slot_index": 0}],
+                "widgets_values": ["a cat"],
+            },
+            {
+                "id": 3,
+                "type": "CLIPTextEncode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "clip", "type": "CLIP", "link": 2},
+                    {"name": "text", "type": "STRING", "widget": {"name": "text"}, "link": None},
+                ],
+                "outputs": [{"name": "CONDITIONING", "type": "CONDITIONING", "links": [5], "slot_index": 0}],
+                "widgets_values": ["bad"],
+            },
+            {
+                "id": 4,
+                "type": "EmptyLatentImage",
+                "mode": 0,
+                "inputs": [
+                    {"name": "width", "type": "INT", "widget": {"name": "width"}, "link": None},
+                    {"name": "height", "type": "INT", "widget": {"name": "height"}, "link": None},
+                    {"name": "batch_size", "type": "INT", "widget": {"name": "batch_size"}, "link": None},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT", "links": [6], "slot_index": 0}],
+                "widgets_values": [512, 512, 1],
+            },
+            {
+                "id": 5,
+                "type": "KSampler",
+                "mode": 0,
+                "inputs": [
+                    {"name": "model", "type": "MODEL", "link": 3},
+                    {"name": "positive", "type": "CONDITIONING", "link": 4},
+                    {"name": "negative", "type": "CONDITIONING", "link": 5},
+                    {"name": "latent_image", "type": "LATENT", "link": 6},
+                    {"name": "seed", "type": "INT", "widget": {"name": "seed"}, "link": None},
+                    {"name": "steps", "type": "INT", "widget": {"name": "steps"}, "link": None},
+                    {"name": "cfg", "type": "FLOAT", "widget": {"name": "cfg"}, "link": None},
+                    {"name": "sampler_name", "type": "COMBO", "widget": {"name": "sampler_name"}, "link": None},
+                    {"name": "scheduler", "type": "COMBO", "widget": {"name": "scheduler"}, "link": None},
+                    {"name": "denoise", "type": "FLOAT", "widget": {"name": "denoise"}, "link": None},
+                ],
+                "outputs": [{"name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0}],
+                "widgets_values": [42, "fixed", 20, 7, "euler", "normal", 1.0],
+            },
+            {
+                "id": 6,
+                "type": "VAEDecode",
+                "mode": 0,
+                "inputs": [
+                    {"name": "samples", "type": "LATENT", "link": 7},
+                    {"name": "vae", "type": "VAE", "link": 8},
+                ],
+                "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0}],
+            },
+            {
+                "id": 7,
+                "type": "SaveImage",
+                "mode": 0,
+                "inputs": [
+                    {"name": "images", "type": "IMAGE", "link": 9},
+                    {"name": "filename_prefix", "type": "STRING", "widget": {"name": "filename_prefix"}, "link": None},
+                ],
+                "widgets_values": ["test"],
+            },
+        ],
+        "links": [
+            [1, 1, 1, 2, 0, "CLIP"],
+            [2, 1, 1, 3, 0, "CLIP"],
+            [3, 1, 0, 5, 0, "MODEL"],
+            [4, 2, 0, 5, 1, "CONDITIONING"],
+            [5, 3, 0, 5, 2, "CONDITIONING"],
+            [6, 4, 0, 5, 3, "LATENT"],
+            [7, 5, 0, 6, 0, "LATENT"],
+            [8, 1, 2, 6, 1, "VAE"],
+            [9, 6, 0, 7, 0, "IMAGE"],
+        ],
+    }
+
+
+def _api_workflow():
+    return json.loads(
+        (EXAMPLES / "video_minimax_h3_r2v_2ref_API.json").read_text(encoding="utf-8")
+    )
+
+
+def test_convert_dry_run_reports_and_stores_nothing(client):
+    payload = {
+        "files": [
+            {
+                "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+                "workflow_json": _ui_graph(),
+            }
+        ],
+        "include_workflows": True,
+    }
+    resp = client.post("/api/workflows/convert", json=payload)
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["total"] == 1 and body["ok"] == 1 and body["importable"] == 1
+    entry = body["files"][0]
+    assert entry["name"] == "test_t2i"
+    assert entry["workflow_json"]["5"]["inputs"]["seed"] == 42
+    assert entry["suggested"]["usage"] == "text2image"
+    assert entry["suggested"]["category"] == "image"
+    assert entry["suggested"]["model_family"] == "Qwen"
+    assert entry["suggested"]["media_out"] == ["image"]
+    # dry-run must not write anything
+    assert client.get("/api/workflows").json() == []
+
+
+def test_convert_needs_confirmation_is_flagged_not_runnable(client):
+    graph = _ui_graph()
+    graph["nodes"].append(
+        {
+            "id": 10,
+            "type": "MysteryCustomNode",
+            "mode": 0,
+            "inputs": [],
+            "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [30], "slot_index": 0}],
+            "widgets_values": [1, 2, 3],
+        }
+    )
+    graph["nodes"].append(
+        {
+            "id": 11,
+            "type": "PreviewImage",
+            "mode": 0,
+            "inputs": [{"name": "images", "type": "IMAGE", "link": 30}],
+            "widgets_values": ["p"],
+        }
+    )
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    resp = client.post(
+        "/api/workflows/convert",
+        json={"files": [{"source_path": "x/mystery.json", "workflow_json": graph}]},
+    )
+    body = resp.json()
+    assert body["needs_confirmation"] == 1
+    assert body["importable"] == 0
+    assert "需人工确认" in body["files"][0]["skip_reason"]
+
+
+def test_import_batch_then_rerun_is_idempotent(client):
+    files = [
+        {
+            "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+            "workflow_json": _ui_graph(),
+        }
+    ]
+    first = client.post("/api/workflows/import-batch", json={"files": files})
+    assert first.status_code == 200
+    body = first.json()
+    assert body["imported"] == 1 and body["skipped"] == 0
+    row_id = body["imported_ids"][0]
+
+    # second run with identical file: conflict skip, no duplicates
+    second = client.post("/api/workflows/import-batch", json={"files": files})
+    body2 = second.json()
+    assert body2["imported"] == 0 and body2["skipped"] == 1
+    assert body2["skipped_files"][0]["reason"] == "conflict"
+    listing = client.get("/api/workflows").json()
+    assert len(listing) == 1
+
+    detail = client.get(f"/api/workflows/{row_id}").json()
+    assert detail["usage"] == "text2image"
+    assert detail["is_enabled"] is True
+    assert detail["category"] == "image"
+    assert detail["model_family"] == "Qwen"
+    assert detail["media_io"] == {"in": [], "out": ["image"]}
+    assert detail["source"] == "ui_convert"
+    assert detail["source_path"] == "3-图像生成/Qwen-Image-2.1/test_t2i.json"
+
+
+def test_import_batch_skips_needs_confirmation_files(client):
+    graph = _ui_graph()
+    graph["nodes"].append(
+        {
+            "id": 10,
+            "type": "MysteryCustomNode",
+            "mode": 0,
+            "inputs": [],
+            "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [30], "slot_index": 0}],
+            "widgets_values": [1, 2, 3],
+        }
+    )
+    graph["nodes"].append(
+        {
+            "id": 11,
+            "type": "PreviewImage",
+            "mode": 0,
+            "inputs": [{"name": "images", "type": "IMAGE", "link": 30}],
+            "widgets_values": ["p"],
+        }
+    )
+    graph["links"].append([30, 10, 0, 11, 0, "IMAGE"])
+    resp = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "mystery", "workflow_json": graph}]},
+    )
+    body = resp.json()
+    assert body["imported"] == 0
+    assert "需人工确认" in body["skipped_files"][0]["reason"]
+    assert client.get("/api/workflows").json() == []
+
+
+def test_warn_sample_imports_with_human_confirmation(client):
+    """A warn file (muted branch → input dropped) still imports when the
+    wizard supplies the settled usage — the manual-correction path."""
+    graph = _ui_graph()
+    graph["nodes"][2]["mode"] = 2  # mute the negative prompt branch
+    dry = client.post(
+        "/api/workflows/convert",
+        json={"files": [{"name": "warned", "workflow_json": graph}]},
+    ).json()
+    assert dry["warn"] == 1 and dry["importable"] == 1
+    resp = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "warned", "workflow_json": graph, "usage": "text2image"}]},
+    )
+    body = resp.json()
+    assert body["imported"] == 1
+    detail = client.get(f"/api/workflows/{body['imported_ids'][0]}").json()
+    assert detail["is_enabled"] is True
+    assert "negative" not in detail["workflow_json"]["5"]["inputs"]
+
+
+@pytest.mark.skipif(not EXAMPLES.is_dir(), reason="example library missing")
+def test_import_scan_dry_run_over_repo_library(client):
+    resp = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(EXAMPLES), "dry_run": True},
+    )
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["total"] == 146
+    assert body["fail"] == 0
+    assert body["ok"] + body["warn"] == 146
+    assert body["needs_confirmation"] > 0  # the 3 uncensored files stay honest
+    assert body["importable"] < body["total"]
+    # a dry scan must leave the DB untouched
+    assert client.get("/api/workflows").json() == []
+
+
+def test_import_scan_commit_from_tmp_directory(client, tmp_path):
+    (tmp_path / "sub").mkdir()
+    (tmp_path / "sub" / "demo.json").write_text(json.dumps(_ui_graph()), encoding="utf-8")
+    (tmp_path / "plain_api.json").write_text(json.dumps(_api_workflow()), encoding="utf-8")
+    (tmp_path / "not_a_workflow.json").write_text(json.dumps({"hello": 1}), encoding="utf-8")
+    resp = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(tmp_path), "dry_run": False},
+    )
+    body = resp.json()
+    # only the one UI file went through this pipeline; API-format and junk skipped
+    assert body["imported"] == 1
+    listing = client.get("/api/workflows").json()
+    assert len(listing) == 1
+    assert listing[0]["source_path"] == "sub/demo.json"
+    # rerun: idempotent
+    again = client.post(
+        "/api/workflows/import-scan",
+        json={"root": str(tmp_path), "dry_run": False},
+    ).json()
+    assert again["imported"] == 0
+    assert len(client.get("/api/workflows").json()) == 1
+
+
+def test_meta_view_has_metadata_but_no_full_json(client):
+    client.post(
+        "/api/workflows/import-batch",
+        json={
+            "files": [
+                {
+                    "source_path": "3-图像生成/Qwen-Image-2.1/test_t2i.json",
+                    "workflow_json": _ui_graph(),
+                    "tags": ["极速"],
+                }
+            ]
+        },
+    )
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert len(meta) == 1
+    row = meta[0]
+    assert "workflow_json" not in row
+    assert "input_schema" not in row
+    assert "output_schema" not in row
+    assert row["category"] == "image"
+    assert row["model_family"] == "Qwen"
+    assert row["media_io"] == {"in": [], "out": ["image"]}
+    assert row["tags"] == ["极速"]
+    assert row["favorite"] is False
+    assert row["needs_mapping"] is False
+
+
+def test_legacy_list_shape_and_old_records_unchanged(client):
+    """Old imports (API format via POST /api/workflows) keep working; the
+    legacy list still carries workflow_json and the new columns default."""
+    created = client.post(
+        "/api/workflows",
+        json={"name": "旧导入", "workflow_json": _api_workflow()},
+    )
+    assert created.status_code == 200
+    legacy = client.get("/api/workflows").json()
+    assert len(legacy) == 1
+    row = legacy[0]
+    assert isinstance(row["workflow_json"], dict)
+    assert "usage" in row and "output_map" in row
+    assert row["favorite"] is False
+    assert row["tags"] == []
+    assert row["media_io"] == {"in": [], "out": []}
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert meta[0]["needs_mapping"] is False or meta[0]["needs_mapping"] is True
+    assert meta[0]["source"] is None
+
+
+def test_favorite_tags_patch_and_touch(client):
+    wid = client.post(
+        "/api/workflows/import-batch",
+        json={"files": [{"name": "fav", "workflow_json": _ui_graph()}]},
+    ).json()["imported_ids"][0]
+    resp = client.patch(f"/api/workflows/{wid}", json={"favorite": True, "tags": ["高质量"]})
+    assert resp.status_code == 200
+    assert resp.json()["favorite"] is True
+    assert resp.json()["tags"] == ["高质量"]
+    touch = client.post(f"/api/workflows/{wid}/touch")
+    assert touch.status_code == 200
+    meta = client.get("/api/workflows", params={"view": "meta"}).json()
+    assert meta[0]["last_used_at"] is not None
+    assert meta[0]["favorite"] is True
+
+
+def test_migration_adds_columns_on_old_database(tmp_path):
+    """A pre-S2 database (workflows table without the metadata columns)
+    migrates in place; existing rows survive with defaults."""
+    db_path = tmp_path / "old.db"
+    conn = sqlite3.connect(db_path)
+    conn.executescript(
+        """
+        CREATE TABLE workflows (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            name TEXT NOT NULL,
+            kind TEXT NOT NULL CHECK(kind IN ('image', 'video')),
+            workflow_json TEXT NOT NULL,
+            description TEXT,
+            prompt_profile TEXT NOT NULL DEFAULT 'prose',
+            is_enabled INTEGER NOT NULL DEFAULT 1,
+            usage TEXT,
+            usage_source TEXT,
+            output_map TEXT,
+            output_map_source TEXT
+        );
+        INSERT INTO workflows (name, kind, workflow_json)
+            VALUES ('legacy', 'video', '{"1": {"class_type": "SaveImage", "inputs": {}}}');
+        """
+    )
+    conn.commit()
+    conn.close()
+
+    import asyncio
+
+    asyncio.run(migrate_db(db_path))
+    conn = sqlite3.connect(db_path)
+    cols = {r[1] for r in conn.execute("PRAGMA table_info(workflows)").fetchall()}
+    assert {
+        "category",
+        "model_family",
+        "media_io",
+        "tags",
+        "favorite",
+        "last_used_at",
+        "source",
+        "source_path",
+    } <= cols
+    row = conn.execute("SELECT name, favorite, tags, category FROM workflows").fetchone()
+    assert row == ("legacy", 0, None, None)
+    conn.close()

calliope-web/src/lib/api.ts

@@ -140,6 +140,11 @@ import type {
   WorkflowOutputMapEntry,
   WorkflowConnectionCheck,
   WorkflowLastTest,
+  WorkflowMeta,
+  WorkflowUIFileInput,
+  WorkflowConvertFileReport,
+  WorkflowConvertReport,
+  WorkflowImportResult,
 } from "./comfy/types";
 export type {
   Job,
@@ -154,6 +159,11 @@ export type {
   WorkflowOutputMapEntry,
   WorkflowConnectionCheck,
   WorkflowLastTest,
+  WorkflowMeta,
+  WorkflowUIFileInput,
+  WorkflowConvertFileReport,
+  WorkflowConvertReport,
+  WorkflowImportResult,
 };
 
 async function api<T>(path: string, init?: RequestInit): Promise<T> {
@@ -462,6 +472,50 @@ export const comfy = {
 
 export const workflows = {
   list: () => api<Workflow[]>("/api/workflows"),
+  /** HEL-682: metadata-only list — 150+ rows without any workflow_json. */
+  listMeta: () => api<WorkflowMeta[]>("/api/workflows?view=meta"),
+  /** HEL-682: dry-run UI→API conversion for a batch of files (nothing stored). */
+  convert: (
+    files: WorkflowUIFileInput[],
+    opts?: { endpoint_id?: string | null; refresh?: boolean },
+  ) =>
+    api<WorkflowConvertReport>("/api/workflows/convert", {
+      method: "POST",
+      body: JSON.stringify({
+        files,
+        ...(opts?.endpoint_id ? { endpoint_id: opts.endpoint_id } : {}),
+        ...(opts?.refresh ? { refresh: opts.refresh } : {}),
+      }),
+    }),
+  /** HEL-682: commit a batch import (converts server-side, conflicts skipped). */
+  importBatch: (files: WorkflowUIFileInput[]) =>
+    api<WorkflowImportResult>("/api/workflows/import-batch", {
+      method: "POST",
+      body: JSON.stringify({ files }),
+    }),
+  /** HEL-682: scan a server-side directory of UI-format JSONs — dry-run report. */
+  importScanDry: (root: string) =>
+    api<WorkflowConvertReport>("/api/workflows/import-scan", {
+      method: "POST",
+      body: JSON.stringify({ root, dry_run: true }),
+    }),
+  /** HEL-682: scan a server-side directory of UI-format JSONs — commit the import. */
+  importScanCommit: (root: string) =>
+    api<WorkflowImportResult>("/api/workflows/import-scan", {
+      method: "POST",
+      body: JSON.stringify({ root, dry_run: false }),
+    }),
+  /** HEL-682: record a use (最近使用). */
+  touch: (id: number) =>
+    api<{ ok: boolean }>(`/api/workflows/${id}/touch`, { method: "POST" }),
+  /** HEL-682: delete byte-identical duplicates, keeping the lowest id. */
+  dedupe: () =>
+    api<{
+      ok: boolean;
+      removed: number;
+      kept_ids: number[];
+      removed_ids: number[];
+    }>("/api/workflows/dedupe", { method: "POST" }),
   analyze: (
     workflow_json: Record<string, unknown>,
     endpoint_id?: string | null,
@@ -537,6 +591,10 @@ export const workflows = {
       input_schema: ComfyDynamicInput[];
       output_map: WorkflowOutputMapEntry[];
       output_map_source: "auto" | "user";
+      favorite: boolean;
+      tags: string[];
+      category: string;
+      model_family: string;
     }>,
   ) =>
     api<Workflow>(`/api/workflows/${id}`, {

calliope-web/src/lib/comfy/types.ts

@@ -175,6 +175,120 @@ export interface Workflow {
 	last_test?: WorkflowLastTest | null;
 }
 
+/**
+ * HEL-682: metadata-only row (GET /api/workflows?view=meta) — the whole
+ * point is browsing 150+ workflows without downloading workflow_json.
+ */
+export interface WorkflowMediaIO {
+	in: string[];
+	out: string[];
+}
+
+export interface WorkflowMeta {
+	id: number;
+	name: string;
+	kind: 'image' | 'video';
+	usage: WorkflowUsage | null;
+	usage_source: 'auto' | 'user' | null;
+	is_enabled: boolean;
+	category: string | null;
+	model_family: string | null;
+	media_io: WorkflowMediaIO;
+	tags: string[];
+	favorite: boolean;
+	last_used_at: string | null;
+	description: string | null;
+	source: string | null;
+	source_path: string | null;
+	prompt_profile: string;
+	created_at: string;
+	endpoint_id: string | null;
+	output_map_source: 'auto' | 'user' | null;
+	/** Cheap pending check: usage or output mapping not settled yet. */
+	needs_mapping: boolean;
+}
+
+/** One UI-format file submitted to the batch convert/import pipeline. */
+export interface WorkflowUIFileInput {
+	name?: string;
+	source_path?: string;
+	workflow_json: Record<string, unknown>;
+	usage?: WorkflowUsage;
+	description?: string;
+	tags?: string[];
+}
+
+export interface WorkflowConvertIssue {
+	node_id: string;
+	code: string;
+	level: 'error' | 'warning';
+	message: string;
+}
+
+export interface WorkflowConvertSuggested {
+	kind: 'image' | 'video';
+	usage: WorkflowUsage | null;
+	usage_ambiguous: boolean;
+	category: string | null;
+	category_label: string | null;
+	model_family: string | null;
+	media_in: string[];
+	media_out: string[];
+	description: string | null;
+}
+
+export interface WorkflowPreflightFinding {
+	level: string;
+	code: string;
+	node_id?: string;
+	node_title?: string;
+	message: string;
+	hint?: string;
+}
+
+export interface WorkflowConvertFileReport {
+	name: string;
+	source_path: string | null;
+	status: 'ok' | 'warn' | 'fail';
+	needs_confirmation: boolean;
+	issues: WorkflowConvertIssue[];
+	importable: boolean;
+	skip_reason?: string | null;
+	suggested?: WorkflowConvertSuggested;
+	preflight?: {
+		endpoint_id: string | null;
+		ok: boolean;
+		findings: WorkflowPreflightFinding[];
+	};
+}
+
+/** Dry-run report (POST /convert, POST /import-scan with dry_run). */
+export interface WorkflowConvertReport {
+	total: number;
+	ok: number;
+	warn: number;
+	fail: number;
+	needs_confirmation: number;
+	importable: number;
+	files: WorkflowConvertFileReport[];
+}
+
+export interface WorkflowImportFileReport extends WorkflowConvertFileReport {
+	result?: 'imported' | 'skipped' | 'failed';
+	id?: number;
+	existing_id?: number;
+}
+
+/** Commit result (POST /import-batch, POST /import-scan without dry_run). */
+export interface WorkflowImportResult {
+	total: number;
+	imported: number;
+	skipped: number;
+	imported_ids: number[];
+	skipped_files: { name: string; source_path: string | null; reason: string | null }[];
+	files: WorkflowImportFileReport[];
+}
+
 export interface Job {
 	id: number;
 	project_id: number;

calliope-web/src/lib/components/generate/Inspector.svelte

@@ -167,28 +167,34 @@
 					<div class="stage-media" in:xfade out:xfade>
 						{#if output && video}
 							<!-- svelte-ignore a11y_media_has_caption -->
-							<video
-								bind:this={videoEl}
-								src={assetUrl(output)}
-								controls
-								playsinline
-								preload="metadata"
-								onloadedmetadata={(e) => {
-									clearOutputMissing(output);
-									noteVideo(e);
-								}}
-								onerror={() => output && markOutputMissing(output)}
-							></video>
+							<div class="print a-photo">
+								{#if st.tone === 'ok' && !fileGone}<span class="a-fix">{t('jobst.done')}</span>{/if}
+								<video
+									bind:this={videoEl}
+									src={assetUrl(output)}
+									controls
+									playsinline
+									preload="metadata"
+									onloadedmetadata={(e) => {
+										clearOutputMissing(output);
+										noteVideo(e);
+									}}
+									onerror={() => output && markOutputMissing(output)}
+								></video>
+							</div>
 						{:else if output}
-							<img
-								src={assetUrl(output)}
-								alt={prompt || t('desk.tabResult')}
-								onload={(e) => {
-									clearOutputMissing(output);
-									noteImg(e);
-								}}
-								onerror={() => output && markOutputMissing(output)}
-							/>
+							<div class="print a-photo">
+								{#if st.tone === 'ok' && !fileGone}<span class="a-fix">{t('jobst.done')}</span>{/if}
+								<img
+									src={assetUrl(output)}
+									alt={prompt || t('desk.tabResult')}
+									onload={(e) => {
+										clearOutputMissing(output);
+										noteImg(e);
+									}}
+									onerror={() => output && markOutputMissing(output)}
+								/>
+							</div>
 						{:else if fileGone}
 							<div class="stage-empty gone">
 								<span>{t('desk.missingTitle')}</span>
@@ -362,14 +368,24 @@
 		inset: 0;
 		display: grid;
 		place-items: center;
+		padding: var(--sp-5);
+		box-sizing: border-box;
 	}
-	.stage-media > img,
-	.stage-media > video {
-		position: absolute;
-		inset: 0;
-		width: 100%;
-		height: 100%;
-		object-fit: contain;
+	/* 相纸白边 (HEL-680)：检视舞台上的结果按相纸呈现，媒体自适应内含 */
+	.print {
+		position: relative;
+		display: grid;
+		max-width: 100%;
+		max-height: 100%;
+		--paper-w: 5px;
+	}
+	.print > img,
+	.print > video {
+		display: block;
+		max-width: 100%;
+		max-height: 100%;
+		width: auto;
+		height: auto;
 	}
 	.stage-empty {
 		display: grid;

calliope-web/src/lib/components/generate/TakeCard.svelte

@@ -183,7 +183,8 @@
 
 	<div class="out">
 		{#if output}
-			<div class="thumb" class:portrait>
+			<div class="thumb a-photo" class:portrait>
+				{#if st.tone === 'ok' && !fileGone}<span class="a-fix">{t('jobst.done')}</span>{/if}
 				{#if isVideoOutput(job, output)}
 					<video
 						src={assetUrl(output)}
@@ -238,15 +239,42 @@
 			background-color var(--d-state) ease,
 			box-shadow var(--d-state) ease;
 	}
-	/* 选中框：金色描边从上一条记录滑到新选中的记录（feed 驱动 WAAPI） */
+	/* 选中框：取景框角线从上一条记录滑到新选中的记录（feed 驱动 WAAPI，
+	   HEL-680 四角短线取代整框描边） */
 	.sel-mark {
 		position: absolute;
 		inset: -1px;
 		z-index: 3;
 		display: none;
-		border: 1px solid var(--accent-line);
-		border-radius: inherit;
 		pointer-events: none;
+		background-image:
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0),
+			linear-gradient(var(--accent) 0 0);
+		background-position:
+			left top,
+			left top,
+			right top,
+			right top,
+			left bottom,
+			left bottom,
+			right bottom,
+			right bottom;
+		background-size:
+			14px 2px,
+			2px 14px,
+			14px 2px,
+			2px 14px,
+			14px 2px,
+			2px 14px,
+			14px 2px,
+			2px 14px;
+		background-repeat: no-repeat;
 	}
 	.take.selected {
 		border-color: transparent;
@@ -458,6 +486,12 @@
 		background: var(--bg-4);
 		box-shadow: inset 0 0 0 1px var(--on-media-line);
 	}
+	/* 相纸白边 (HEL-680)：有产出的记录缩略图按相纸呈现，压过占位态样式 */
+	.thumb.a-photo {
+		border-radius: 2px;
+		background: var(--accent);
+		box-shadow: 0 2px 12px rgba(0, 0, 0, 0.35);
+	}
 	.thumb.portrait {
 		width: 96px;
 		aspect-ratio: 3 / 4;

calliope-web/src/lib/components/home/AProjectCard.svelte

@@ -52,7 +52,12 @@
 		'var(--avatar-4)',
 		'var(--avatar-5)',
 	];
-	const placeholder = $derived(PLACEHOLDER_GRADIENTS[project.id % PLACEHOLDER_GRADIENTS.length]);
+	const placeholderIdx = $derived(project.id % PLACEHOLDER_GRADIENTS.length);
+	const placeholder = $derived(PLACEHOLDER_GRADIENTS[placeholderIdx]);
+	// HEL-680 灰阶封面占位：1–2 亮阶配深图标，3–5 暗阶配浅图标
+	const placeholderIconColor = $derived(
+		placeholderIdx <= 1 ? 'var(--accent-ink)' : 'var(--text)',
+	);
 
 	const coverUrl = $derived(assetUrl(project.cover_path));
 
@@ -174,7 +179,12 @@
 					onerror={() => (coverFailed = true)}
 				/>
 			{:else}
-				<span class="cover-ph" style:background={placeholder} aria-hidden="true">
+				<span
+					class="cover-ph"
+					style:background={placeholder}
+					style:color={placeholderIconColor}
+					aria-hidden="true"
+				>
 					<Icon name="film" size={22} />
 				</span>
 			{/if}

calliope-web/src/lib/components/shell/AppShell.svelte

@@ -402,6 +402,7 @@
 		flex-shrink: 0;
 		margin-bottom: var(--sp-5);
 		border-radius: var(--r-md);
+		border-bottom: 2px solid var(--accent-lo);
 		display: grid;
 		place-items: center;
 		background: var(--accent-grad);

calliope-web/src/lib/components/ui/icons.ts

@@ -51,6 +51,7 @@ export const icons = {
 	stop: '<rect x="5" y="5" width="14" height="14" rx="2"/>',
 	// Status
 	check: '<path d="M20 6 9 17l-5-5"/>',
+	star: '<polygon points="12 2 15.09 8.26 22 9.27 17 14.14 18.18 21.02 12 17.77 5.82 21.02 7 14.14 2 9.27 8.91 8.26 12 2"/>',
 	alert:
 		'<path d="m21.73 18-8-14a2 2 0 0 0-3.48 0l-8 14A2 2 0 0 0 4 21h16a2 2 0 0 0 1.73-3Z"/><path d="M12 9v4"/><path d="M12 17h.01"/>',
 	info: '<circle cx="12" cy="12" r="10"/><path d="M12 16v-4"/><path d="M12 8h.01"/>',

calliope-web/src/lib/components/video/ClipMonitor.svelte

@@ -132,9 +132,7 @@ let {
 		min-height: 0;
 		width: 100%;
 		height: 100%;
-		background:
-			radial-gradient(ellipse at center, rgba(139, 92, 246, 0.08), transparent 55%),
-			#050508;
+		background: var(--stage-bg);
 		border: 1px solid var(--border);
 		border-radius: var(--radius-md);
 		overflow: hidden;

calliope-web/src/lib/components/video/PromptPreviewModal.svelte

@@ -79,14 +79,14 @@
 	let criticNotes = $state<string[]>([]);
 
 	const preview = createMutation({
-		mutationFn: async (vars?: { force?: boolean }) => {
+		mutationFn: async (vars: { force?: boolean } | void) => {
 			if (!clip && !scene) throw new Error(t('promptPreview.noClipSelected'));
 			return jobsApi.previewPrompt(projectId, {
 				clip_id: clip?.id,
 				scene_id: clip ? undefined : scene?.id,
 				workflow_id: workflow?.id,
 				input_values: compactInputValues(inputValues),
-				force: Boolean(vars?.force),
+				force: Boolean((vars as { force?: boolean } | undefined)?.force),
 			});
 		},
 		onSuccess: (data) => {

calliope-web/src/lib/components/video/SceneFilmstrip.svelte

@@ -203,7 +203,7 @@ title={t('filmstrip.clipTitle', {
 		inset: 0 0 auto 0;
 		height: 3px;
 		z-index: 1;
-		background: #3f3f46;
+		background: var(--bg-4);
 	}
 
 	.clip.status-done .bar {

calliope-web/src/lib/components/workflows/WorkflowBatchImportWizard.svelte

@@ -0,0 +1,908 @@
+<script lang="ts">
+	import Drawer from '$lib/components/ui/Drawer.svelte';
+	import Button from '$lib/components/ui/Button.svelte';
+	import Icon from '$lib/components/ui/Icon.svelte';
+	import {
+		apiErrorMessage,
+		workflows,
+		type ComfyEndpoint,
+		type WorkflowConvertFileReport,
+		type WorkflowConvertReport,
+		type WorkflowImportResult,
+		type WorkflowUIFileInput,
+		type WorkflowUsage,
+	} from '$lib/api';
+	import { WORKFLOW_USAGES } from '$lib/comfy/types';
+	import { t } from '$lib/i18n.svelte';
+	import { toast } from '$lib/toast';
+
+	/**
+	 * 批量导入向导 (HEL-682 / S4)：扫描服务器目录或选择多个本地文件 →
+	 * dry-run 逐文件预检报告（ok / warn / fail / 需人工确认，含建议元数据）→
+	 * 确认后提交导入。warn 项可补充用途后以启用状态入库；fail 与需人工确认项
+	 * 不会被导入，也不得被标作可运行。重复导入按内容去重，全部跳过。
+	 */
+	interface Props {
+		open?: boolean;
+		endpoints: ComfyEndpoint[];
+		onimported?: () => void;
+	}
+
+	let { open = $bindable(false), endpoints, onimported }: Props = $props();
+
+	type Step = 'source' | 'report' | 'result';
+
+	let step = $state<Step>('source');
+	let mode = $state<'scan' | 'files'>('scan');
+	let scanRoot = $state('example_ComfyUI_workflows');
+	let preflightId = $state('');
+	let inputFiles = $state<WorkflowUIFileInput[]>([]);
+	let nonUiSkipped = $state<string[]>([]);
+	let reading = $state(false);
+	let running = $state(false);
+	let importing = $state(false);
+	let error = $state('');
+	let report = $state<WorkflowConvertReport | null>(null);
+	let result = $state<WorkflowImportResult | null>(null);
+	let usageApplied = $state(0);
+	/** Per-file usage chosen in the report step, keyed by name\0source_path. */
+	let usageBy = $state<Record<string, WorkflowUsage>>({});
+	/** Files the user un-checked (file-picker mode only). */
+	let excludedKeys = $state<Set<string>>(new Set());
+	let rSearch = $state('');
+	let rFilter = $state<'all' | 'warn' | 'blocked'>('all');
+	let expandedIssues = $state<Set<string>>(new Set());
+	let visible = $state(60);
+	let fileInput = $state<HTMLInputElement | null>(null);
+
+	function rk(f: { name: string; source_path: string | null }): string {
+		return `${f.name}\u0000${f.source_path ?? ''}`;
+	}
+
+	function reset() {
+		step = 'source';
+		inputFiles = [];
+		nonUiSkipped = [];
+		report = null;
+		result = null;
+		usageApplied = 0;
+		usageBy = {};
+		excludedKeys = new Set();
+		rSearch = '';
+		rFilter = 'all';
+		expandedIssues = new Set();
+		visible = 60;
+		error = '';
+	}
+
+	function usageLabel(u: WorkflowUsage | null | undefined): string {
+		return u ? t(`usage.${u}`) : t('usage.pending');
+	}
+
+	function mediaIcon(kind: string): 'image' | 'film' | 'music' {
+		if (kind === 'video') return 'film';
+		if (kind === 'audio') return 'music';
+		return 'image';
+	}
+
+	function mediaTitle(kind: string): string {
+		if (kind === 'video') return t('wl.mediaVideo');
+		if (kind === 'audio') return t('wl.mediaAudio');
+		return t('wl.mediaImage');
+	}
+
+	async function readPickedFiles(list: FileList | null) {
+		if (!list?.length) return;
+		reading = true;
+		error = '';
+		try {
+			const items: WorkflowUIFileInput[] = [];
+			const skipped: string[] = [];
+			for (const file of Array.from(list)) {
+				try {
+					const data = JSON.parse(await file.text());
+					if (!(data && typeof data === 'object' && Array.isArray(data.nodes))) {
+						skipped.push(file.name);
+						continue;
+					}
+					items.push({
+						name: file.name.replace(/\.json$/i, ''),
+						source_path: file.name,
+						workflow_json: data,
+					});
+				} catch {
+					skipped.push(file.name);
+				}
+			}
+			inputFiles = items;
+			nonUiSkipped = skipped;
+		} finally {
+			reading = false;
+			if (fileInput) fileInput.value = '';
+		}
+	}
+
+	async function runDryRun() {
+		running = true;
+		error = '';
+		try {
+			let res: WorkflowConvertReport;
+			if (mode === 'scan') {
+				res = await workflows.importScanDry(scanRoot.trim() || 'example_ComfyUI_workflows');
+				inputFiles = [];
+				nonUiSkipped = [];
+			} else {
+				if (inputFiles.length === 0) {
+					error = t('wiz.noFiles');
+					return;
+				}
+				res = await workflows.convert(
+					inputFiles,
+					preflightId ? { endpoint_id: preflightId } : undefined,
+				);
+			}
+			report = res;
+			usageBy = {};
+			excludedKeys = new Set(res.files.filter((f) => !f.importable).map((f) => rk(f)));
+			rSearch = '';
+			rFilter = 'all';
+			expandedIssues = new Set();
+			visible = 60;
+			step = 'report';
+		} catch (err) {
+			error = apiErrorMessage(err);
+		} finally {
+			running = false;
+		}
+	}
+
+	const selectedCount = $derived(
+		report
+			? mode === 'files'
+				? report.files.filter((f) => f.importable && !excludedKeys.has(rk(f))).length
+				: report.importable
+			: 0,
+	);
+	const blockedCount = $derived(
+		report ? report.files.filter((f) => !f.importable).length : 0,
+	);
+
+	const filteredFiles = $derived.by(() => {
+		if (!report) return [];
+		const q = rSearch.trim().toLowerCase();
+		return report.files.filter((f) => {
+			if (rFilter === 'warn' && f.status !== 'warn') return false;
+			if (rFilter === 'blocked' && f.importable) return false;
+			if (!q) return true;
+			return (
+				f.name.toLowerCase().includes(q) ||
+				(f.source_path ?? '').toLowerCase().includes(q) ||
+				(f.suggested?.model_family ?? '').toLowerCase().includes(q)
+			);
+		});
+	});
+
+	function needsUsagePick(f: WorkflowConvertFileReport): boolean {
+		return Boolean(f.importable && (!f.suggested?.usage || f.suggested.usage_ambiguous));
+	}
+
+	function setUsage(f: WorkflowConvertFileReport, usage: string) {
+		const key = rk(f);
+		if (usage) usageBy = { ...usageBy, [key]: usage as WorkflowUsage };
+		else {
+			const next = { ...usageBy };
+			delete next[key];
+			usageBy = next;
+		}
+	}
+
+	function toggleIssue(f: WorkflowConvertFileReport) {
+		const key = rk(f);
+		const next = new Set(expandedIssues);
+		if (next.has(key)) next.delete(key);
+		else next.add(key);
+		expandedIssues = next;
+	}
+
+	function skipText(reason: string | null | undefined): string {
+		if (reason === 'conflict') return t('wiz.conflict');
+		return reason ?? '';
+	}
+
+	async function runImport() {
+		if (!report) return;
+		importing = true;
+		error = '';
+		try {
+			let res: WorkflowImportResult;
+			if (mode === 'files') {
+				const files = inputFiles
+					.map((item, i) => ({ item, f: report!.files[i] }))
+					.filter(({ f }) => f?.importable && !excludedKeys.has(rk(f)))
+					.map(({ item, f }) => {
+						const usage = usageBy[rk(f)];
+						return usage ? { ...item, usage } : item;
+					});
+				res = await workflows.importBatch(files);
+			} else {
+				res = await workflows.importScanCommit(scanRoot.trim() || 'example_ComfyUI_workflows');
+			}
+			result = res;
+			// Directory commits import everything found server-side; usage
+			// choices from the report step are applied to the fresh rows here.
+			if (mode === 'scan') {
+				let applied = 0;
+				for (const f of res.files) {
+					const usage = usageBy[rk(f)];
+					if (f.result === 'imported' && f.id != null && usage) {
+						try {
+							await workflows.update(f.id, {
+								usage,
+								usage_source: 'user',
+								is_enabled: true,
+							});
+							applied++;
+						} catch {
+							try {
+								await workflows.update(f.id, { usage, usage_source: 'user' });
+								applied++;
+							} catch {
+								/* keep the imported row, skip the override */
+							}
+						}
+					}
+				}
+				usageApplied = applied;
+			}
+			step = 'result';
+			onimported?.();
+			if (res.imported > 0) toast.success(t('wiz.importedToast', { n: res.imported }));
+		} catch (err) {
+			error = apiErrorMessage(err);
+		} finally {
+			importing = false;
+		}
+	}
+</script>
+
+<Drawer bind:open title={t('wiz.title')} width={780} onclose={reset}>
+	<ol class="wz-steps" aria-label={t('wiz.title')}>
+		<li class:active={step === 'source'} class:done={step !== 'source'}>
+			<span class="wz-step-n">1</span>{t('wiz.stepSource')}
+		</li>
+		<li class:active={step === 'report'} class:done={step === 'result'}>
+			<span class="wz-step-n">2</span>{t('wiz.stepReport')}
+		</li>
+		<li class:active={step === 'result'}>
+			<span class="wz-step-n">3</span>{t('wiz.stepResult')}
+		</li>
+	</ol>
+
+	{#if error}
+		<div class="wz-error" role="alert">
+			<Icon name="alert" size={14} />
+			<span>{error}</span>
+		</div>
+	{/if}
+
+	{#if step === 'source'}
+		<div class="seg wz-mode" role="radiogroup" aria-label={t('wiz.sourceLabel')}>
+			<button
+				type="button"
+				class="seg-item"
+				class:selected={mode === 'scan'}
+				aria-pressed={mode === 'scan'}
+				onclick={() => (mode = 'scan')}
+			>
+				<Icon name="folder" size={14} />
+				{t('wiz.modeScan')}
+			</button>
+			<button
+				type="button"
+				class="seg-item"
+				class:selected={mode === 'files'}
+				aria-pressed={mode === 'files'}
+				onclick={() => (mode = 'files')}
+			>
+				<Icon name="upload" size={14} />
+				{t('wiz.modeFiles')}
+			</button>
+		</div>
+
+		{#if mode === 'scan'}
+			<label class="wz-field">
+				<span class="wz-label">{t('wiz.rootLabel')}</span>
+				<input
+					class="a-input wz-root"
+					value={scanRoot}
+					spellcheck="false"
+					oninput={(e) => (scanRoot = e.currentTarget.value)}
+					placeholder="example_ComfyUI_workflows"
+				/>
+				<span class="wz-hint">{t('wiz.rootHint')}</span>
+			</label>
+		{:else}
+			<div class="wz-field">
+				<span class="wz-label">{t('wiz.pickFiles')}</span>
+				<button type="button" class="a-btn secondary" onclick={() => fileInput?.click()}>
+					<Icon name="upload" size={14} />
+					{t('wiz.pickFilesBtn')}
+				</button>
+				<input
+					bind:this={fileInput}
+					type="file"
+					accept=".json,application/json"
+					multiple
+					class="wz-file-hidden"
+					onchange={(e) => void readPickedFiles(e.currentTarget.files)}
+				/>
+				<span class="wz-hint">{t('wiz.pickFilesHint')}</span>
+				{#if reading}
+					<p class="wz-read">{t('common.loading')}…</p>
+				{/if}
+				{#if inputFiles.length}
+					<p class="wz-read ok">
+						<Icon name="check" size={13} />
+						{t('wiz.parsed', { n: inputFiles.length })}
+					</p>
+				{/if}
+				{#if nonUiSkipped.length}
+					<p class="wz-read bad">
+						<Icon name="alert" size={13} />
+						{t('wiz.notUi', { n: nonUiSkipped.length })}
+					</p>
+				{/if}
+			</div>
+		{/if}
+
+		{#if mode === 'files' && endpoints.length > 0}
+			<label class="wz-field">
+				<span class="wz-label">{t('wiz.preflight')}</span>
+				<select class="a-select wz-preflight" value={preflightId} onchange={(e) => (preflightId = e.currentTarget.value)}>
+					<option value="">{t('wiz.preflightNone')}</option>
+					{#each endpoints as ep (ep.id)}
+						<option value={ep.id}>{ep.name}</option>
+					{/each}
+				</select>
+				<span class="wz-hint">{t('wiz.preflightHint')}</span>
+			</label>
+		{/if}
+	{:else if step === 'report' && report}
+		<div class="wz-summary">
+			<span class="wz-chip">{t('wiz.total', { n: report.total })}</span>
+			<span class="wz-chip ok">{t('wiz.ok', { n: report.ok })}</span>
+			<span class="wz-chip warn">{t('wiz.warn', { n: report.warn })}</span>
+			<span class="wz-chip fail">{t('wiz.fail', { n: report.fail })}</span>
+			<span class="wz-chip confirm">{t('wiz.confirmCount', { n: report.needs_confirmation })}</span>
+			<span class="wz-chip importable">{t('wiz.importable', { n: report.importable })}</span>
+		</div>
+		<p class="wz-note">{t('wiz.reportHint')}</p>
+
+		<div class="wz-toolbar">
+			<div class="filters" role="group" aria-label={t('wiz.filterLabel')}>
+				<button type="button" class="a-chip" class:sel={rFilter === 'all'} aria-pressed={rFilter === 'all'} onclick={() => (rFilter = 'all')}>
+					{t('wl.filterAll')}
+				</button>
+				<button type="button" class="a-chip" class:sel={rFilter === 'warn'} aria-pressed={rFilter === 'warn'} onclick={() => (rFilter = 'warn')}>
+					{t('wiz.filterWarn')}
+				</button>
+				<button type="button" class="a-chip" class:sel={rFilter === 'blocked'} aria-pressed={rFilter === 'blocked'} onclick={() => (rFilter = 'blocked')}>
+					{t('wiz.filterBlocked')}
+				</button>
+			</div>
+			<input
+				class="a-input wz-search"
+				value={rSearch}
+				oninput={(e) => (rSearch = e.currentTarget.value)}
+				placeholder={t('wiz.searchPh')}
+				aria-label={t('wiz.searchPh')}
+			/>
+		</div>
+
+		<div class="wz-list">
+			{#each filteredFiles.slice(0, visible) as f (rk(f))}
+				<div class="wz-row" class:blocked={!f.importable}>
+					{#if mode === 'files'}
+						<input
+							type="checkbox"
+							class="wz-check"
+							aria-label={t('wiz.includeAria', { name: f.name })}
+							disabled={!f.importable}
+							checked={f.importable && !excludedKeys.has(rk(f))}
+							onchange={(e) => {
+								const next = new Set(excludedKeys);
+								if (e.currentTarget.checked) next.delete(rk(f));
+								else next.add(rk(f));
+								excludedKeys = next;
+							}}
+						/>
+					{/if}
+					<span class="wz-dot {f.status}" title={f.status}></span>
+					<div class="wz-main">
+						<div class="wz-line">
+							<span class="wz-name" title={f.suggested?.description ?? f.name}>{f.name}</span>
+							{#if f.suggested?.model_family}
+								<span class="tag tag-usage">{f.suggested.model_family}</span>
+							{/if}
+							{#if f.suggested}
+								<span class="tag tag-usage">{usageLabel(f.suggested.usage)}</span>
+								<span class="wz-media" aria-hidden="true">
+									{#each f.suggested.media_in as m (m)}
+										<span class="wz-m" title={mediaTitle(m)}><Icon name={mediaIcon(m)} size={12} /></span>
+									{/each}
+									{#if f.suggested.media_out.length}
+										<span class="wz-arrow">→</span>
+										{#each f.suggested.media_out as m (m)}
+											<span class="wz-m" title={mediaTitle(m)}><Icon name={mediaIcon(m)} size={12} /></span>
+										{/each}
+									{/if}
+								</span>
+							{/if}
+							{#if f.status === 'warn'}
+								<span class="tag tag-warn">{t('wiz.warnTag')}</span>
+							{/if}
+							{#if f.needs_confirmation}
+								<span class="tag tag-error">{t('wiz.confirmTag')}</span>
+							{/if}
+							{#if f.preflight && !f.preflight.ok}
+								<span class="tag tag-error" title={f.preflight.findings.map((x) => x.message).join('\n')}>
+									{t('wiz.preflightTag')}
+								</span>
+							{/if}
+						</div>
+						{#if f.source_path}
+							<div class="wz-path mono">{f.source_path}</div>
+						{/if}
+						{#if !f.importable && f.skip_reason}
+							<div class="wz-skip">{t('wiz.skipReason', { reason: skipText(f.skip_reason) })}</div>
+						{/if}
+						{#if needsUsagePick(f)}
+							<label class="wz-usage">
+								<span>{t('wiz.usagePick')}</span>
+								<select
+									class="a-select wz-usage-select"
+									value={usageBy[rk(f)] ?? ''}
+									onchange={(e) => setUsage(f, e.currentTarget.value)}
+								>
+									<option value="">{t('wiz.usageNone')}</option>
+									{#each WORKFLOW_USAGES as u (u)}
+										<option value={u}>{usageLabel(u)}</option>
+									{/each}
+								</select>
+							</label>
+						{/if}
+						{#if f.issues.length}
+							<button type="button" class="wz-issues-toggle" onclick={() => toggleIssue(f)} aria-expanded={expandedIssues.has(rk(f))}>
+								<Icon name="alert" size={12} />
+								{t('wiz.issues', { n: f.issues.length })}
+							</button>
+							{#if expandedIssues.has(rk(f))}
+								<ul class="wz-issues">
+									{#each f.issues as iss, i (`${rk(f)}#${i}`)}
+										<li class="lvl-{iss.level}">
+											<span class="mono">{iss.node_id}</span>
+											{iss.message}
+										</li>
+									{/each}
+								</ul>
+							{/if}
+						{/if}
+					</div>
+				</div>
+			{/each}
+		</div>
+		{#if filteredFiles.length > visible}
+			<button type="button" class="a-btn ghost wz-more" onclick={() => (visible += 100)}>
+				{t('wl.moreCount', { n: Math.min(100, filteredFiles.length - visible), m: filteredFiles.length })}
+			</button>
+		{/if}
+	{:else if step === 'result' && result}
+		<div class="wz-summary">
+			<span class="wz-chip ok">{t('wiz.imported', { n: result.imported })}</span>
+			<span class="wz-chip">{t('wiz.skipped', { n: result.skipped })}</span>
+			{#if result.files.some((f) => f.result === 'failed')}
+				<span class="wz-chip fail">{t('wiz.fail', { n: result.files.filter((f) => f.result === 'failed').length })}</span>
+			{/if}
+		</div>
+		<p class="wz-note">{t('wiz.resultNote')}</p>
+		{#if usageApplied > 0}
+			<p class="wz-note ok">{t('wiz.usageApplied', { n: usageApplied })}</p>
+		{/if}
+		<div class="wz-list">
+			{#each result.files as f (rk(f))}
+				<div class="wz-row">
+					<span class="wz-dot {f.result === 'imported' ? 'ok' : f.result === 'failed' ? 'fail' : 'warn'}"></span>
+					<div class="wz-main">
+						<div class="wz-line">
+							<span class="wz-name">{f.name}</span>
+							{#if f.result === 'imported'}
+								<span class="tag tag-ok">
+									<Icon name="check" size={12} />
+									{t('wiz.importedTag', { id: f.id ?? '?' })}
+								</span>
+							{:else if f.skip_reason === 'conflict' || f.result === 'skipped'}
+								<span class="tag tag-usage">{skipText(f.skip_reason)}</span>
+							{:else}
+								<span class="tag tag-error">{skipText(f.skip_reason)}</span>
+							{/if}
+						</div>
+						{#if f.source_path}
+							<div class="wz-path mono">{f.source_path}</div>
+						{/if}
+					</div>
+				</div>
+			{/each}
+		</div>
+	{/if}
+
+	{#snippet footer()}
+		{#if step === 'source'}
+			<Button variant="secondary" onclick={() => (open = false)}>{t('common.cancel')}</Button>
+			<Button variant="primary" loading={running} disabled={reading} onclick={() => void runDryRun()}>
+				{running ? t('wiz.running') : t('wiz.runDry')}
+			</Button>
+		{:else if step === 'report'}
+			<span class="wz-footer-note">
+				{t('wiz.selectedN', { n: selectedCount })}
+				{#if blockedCount}· {t('wiz.excludedM', { m: blockedCount })}{/if}
+			</span>
+			<Button variant="secondary" disabled={importing} onclick={() => (step = 'source')}>{t('wiz.back')}</Button>
+			<Button variant="primary" loading={importing} disabled={selectedCount === 0} onclick={() => void runImport()}>
+				{importing ? t('wiz.importing') : t('wiz.import')}
+			</Button>
+		{:else}
+			<Button variant="secondary" onclick={() => { reset(); step = 'source'; }}>{t('wiz.again')}</Button>
+			<Button variant="primary" onclick={() => (open = false)}>{t('wiz.done')}</Button>
+		{/if}
+	{/snippet}
+</Drawer>
+
+<style>
+	.wz-steps {
+		display: flex;
+		gap: 6px;
+		list-style: none;
+		padding: 0;
+		margin: 0 0 14px;
+	}
+	.wz-steps li {
+		flex: 1;
+		display: flex;
+		align-items: center;
+		gap: 7px;
+		padding: 8px 10px;
+		border-radius: 8px;
+		border: 1px solid var(--border);
+		background: var(--surface-2);
+		color: var(--text-3);
+		font-size: 12px;
+	}
+	.wz-steps li.active {
+		border-color: var(--accent);
+		color: var(--accent);
+		background: var(--accent-dim);
+		font-weight: 600;
+	}
+	.wz-steps li.done {
+		color: var(--text-2);
+	}
+	.wz-step-n {
+		display: inline-flex;
+		align-items: center;
+		justify-content: center;
+		width: 18px;
+		height: 18px;
+		border-radius: 50%;
+		border: 1px solid currentColor;
+		font-size: 10.5px;
+		flex-shrink: 0;
+	}
+	.wz-error {
+		display: flex;
+		align-items: flex-start;
+		gap: 8px;
+		margin-bottom: 12px;
+		padding: 9px 12px;
+		border-radius: 7px;
+		background: var(--error-dim);
+		color: var(--text-2);
+		font-size: 12px;
+	}
+	.wz-error :global(.icon) {
+		color: var(--error);
+		flex-shrink: 0;
+		margin-top: 1px;
+	}
+	.wz-mode {
+		margin-bottom: 14px;
+	}
+	.seg {
+		display: flex;
+		gap: 6px;
+	}
+	.seg-item {
+		flex: 1;
+		display: inline-flex;
+		align-items: center;
+		justify-content: center;
+		gap: 6px;
+		text-align: center;
+		padding: 8px 6px;
+		border-radius: 7px;
+		border: 1px solid var(--border);
+		background: var(--surface-2);
+		font-size: 12.5px;
+		color: var(--text-2);
+		cursor: pointer;
+		font-family: inherit;
+	}
+	.seg-item.selected {
+		border-color: var(--accent);
+		color: var(--accent);
+		background: var(--accent-dim);
+		font-weight: 600;
+	}
+	.wz-field {
+		display: block;
+		margin-bottom: 14px;
+	}
+	.wz-label {
+		display: block;
+		font-size: 12px;
+		font-weight: 600;
+		color: var(--text-2);
+		margin-bottom: 6px;
+	}
+	.wz-root,
+	.wz-preflight,
+	.wz-search {
+		width: 100%;
+		box-sizing: border-box;
+	}
+	.wz-hint {
+		display: block;
+		margin-top: 5px;
+		font-size: 11px;
+		color: var(--text-3);
+		line-height: 1.6;
+	}
+	.wz-file-hidden {
+		display: none;
+	}
+	.wz-read {
+		display: flex;
+		align-items: center;
+		gap: 6px;
+		margin: 8px 0 0;
+		font-size: 12px;
+		color: var(--text-2);
+	}
+	.wz-read.ok {
+		color: var(--success);
+	}
+	.wz-read.bad {
+		color: var(--warn);
+	}
+	.wz-summary {
+		display: flex;
+		flex-wrap: wrap;
+		gap: 6px;
+		margin-bottom: 8px;
+	}
+	.wz-chip {
+		display: inline-flex;
+		align-items: center;
+		padding: 3px 10px;
+		border-radius: 999px;
+		font-size: 11.5px;
+		font-weight: 600;
+		color: var(--text-2);
+		background: var(--bg-4);
+	}
+	.wz-chip.ok,
+	.wz-chip.importable {
+		color: var(--success);
+		background: var(--success-dim);
+	}
+	.wz-chip.warn {
+		color: var(--warn);
+		background: var(--warn-dim, var(--bg-4));
+	}
+	.wz-chip.fail,
+	.wz-chip.confirm {
+		color: var(--error);
+		background: var(--error-dim);
+	}
+	.wz-note {
+		margin: 0 0 12px;
+		font-size: 11.5px;
+		line-height: 1.6;
+		color: var(--text-3);
+	}
+	.wz-note.ok {
+		color: var(--success);
+	}
+	.wz-toolbar {
+		display: flex;
+		align-items: center;
+		gap: 10px;
+		margin-bottom: 10px;
+		flex-wrap: wrap;
+	}
+	.wz-toolbar .filters {
+		display: flex;
+		gap: 6px;
+	}
+	.wz-search {
+		flex: 1;
+		min-width: 160px;
+	}
+	.wz-list {
+		display: flex;
+		flex-direction: column;
+		gap: 4px;
+	}
+	.wz-row {
+		display: flex;
+		align-items: flex-start;
+		gap: 10px;
+		padding: 8px 10px;
+		border-radius: 8px;
+	}
+	.wz-row:hover {
+		background: var(--surface-2);
+	}
+	.wz-row.blocked .wz-name {
+		color: var(--text-3);
+	}
+	.wz-check {
+		margin-top: 3px;
+		accent-color: var(--accent);
+		flex-shrink: 0;
+	}
+	.wz-dot {
+		width: 8px;
+		height: 8px;
+		border-radius: 50%;
+		margin-top: 6px;
+		flex-shrink: 0;
+	}
+	.wz-dot.ok {
+		background: var(--success);
+	}
+	.wz-dot.warn {
+		background: var(--warn);
+	}
+	.wz-dot.fail {
+		background: var(--error);
+	}
+	.wz-main {
+		flex: 1;
+		min-width: 0;
+	}
+	.wz-line {
+		display: flex;
+		align-items: center;
+		gap: 8px;
+		flex-wrap: wrap;
+	}
+	.wz-name {
+		font-size: 13px;
+		font-weight: 500;
+		color: var(--text);
+		overflow: hidden;
+		text-overflow: ellipsis;
+		white-space: nowrap;
+		max-width: 100%;
+	}
+	.tag {
+		display: inline-flex;
+		align-items: center;
+		gap: 4px;
+		padding: 2px 9px;
+		border-radius: 999px;
+		font-size: 10.5px;
+		font-weight: 600;
+	}
+	.tag-usage {
+		color: var(--text-2);
+		background: var(--bg-4);
+	}
+	.tag-warn {
+		color: var(--warn);
+		background: var(--warn-dim, var(--bg-4));
+	}
+	.tag-error {
+		color: var(--error);
+		background: var(--error-dim);
+	}
+	.tag-ok {
+		color: var(--success);
+		background: var(--success-dim);
+	}
+	.wz-media {
+		display: inline-flex;
+		align-items: center;
+		gap: 3px;
+		color: var(--text-3);
+	}
+	.wz-m {
+		display: inline-flex;
+		align-items: center;
+	}
+	.wz-arrow {
+		font-size: 10px;
+	}
+	.wz-path {
+		margin-top: 2px;
+		font-size: 10.5px;
+		color: var(--text-3);
+		word-break: break-all;
+	}
+	.wz-skip {
+		margin-top: 4px;
+		font-size: 11.5px;
+		color: var(--error);
+		line-height: 1.5;
+	}
+	.wz-usage {
+		display: flex;
+		align-items: center;
+		gap: 8px;
+		margin-top: 6px;
+		font-size: 11.5px;
+		color: var(--text-2);
+	}
+	.wz-usage-select {
+		width: 180px;
+	}
+	.wz-issues-toggle {
+		display: inline-flex;
+		align-items: center;
+		gap: 4px;
+		margin-top: 5px;
+		padding: 0;
+		border: none;
+		background: none;
+		font-family: inherit;
+		font-size: 11.5px;
+		color: var(--warn);
+		cursor: pointer;
+	}
+	.wz-issues-toggle:focus-visible {
+		outline: 2px solid var(--accent);
+		outline-offset: 2px;
+		border-radius: 4px;
+	}
+	.wz-issues {
+		margin: 6px 0 0;
+		padding: 8px 10px;
+		list-style: none;
+		border-radius: 7px;
+		background: var(--surface-2);
+		display: flex;
+		flex-direction: column;
+		gap: 4px;
+	}
+	.wz-issues li {
+		font-size: 11px;
+		color: var(--text-2);
+		line-height: 1.5;
+	}
+	.wz-issues li .mono {
+		color: var(--text-3);
+		margin-right: 6px;
+	}
+	.wz-issues li.lvl-error {
+		color: var(--error);
+	}
+	.wz-more {
+		margin-top: 10px;
+		width: 100%;
+	}
+	.wz-footer-note {
+		margin-right: auto;
+		font-size: 11.5px;
+		color: var(--text-3);
+	}
+</style>

calliope-web/src/lib/components/workflows/WorkflowMetaDialog.svelte

@@ -0,0 +1,259 @@
+<script lang="ts">
+	import Modal from '$lib/components/ui/Modal.svelte';
+	import Button from '$lib/components/ui/Button.svelte';
+	import Icon from '$lib/components/ui/Icon.svelte';
+	import { useQueryClient } from '@tanstack/svelte-query';
+	import { apiErrorMessage, workflows, type WorkflowMeta } from '$lib/api';
+	import { t } from '$lib/i18n.svelte';
+	import { toast } from '$lib/toast';
+
+	/**
+	 * 工作流标注 (HEL-682 / S4)：单条编辑显示名/说明/标签/分类/模型家族；
+	 * 批量模式对选中项做查找替换重命名、统一说明、追加标签与分类标注。
+	 * 只有填写了的字段会被提交，空字段一律不动。
+	 */
+	interface Props {
+		open?: boolean;
+		/** Rows to update — length 1 = single edit (prefilled), >1 = batch. */
+		targets: WorkflowMeta[];
+		/** Known category keys / family names for the datalists. */
+		categories: string[];
+		families: string[];
+		onchanged?: () => void;
+	}
+
+	let { open = $bindable(false), targets, categories, families, onchanged }: Props = $props();
+
+	const client = useQueryClient();
+
+	let name = $state('');
+	let nameFind = $state('');
+	let nameReplace = $state('');
+	let description = $state('');
+	let tagsText = $state('');
+	let category = $state('');
+	let modelFamily = $state('');
+	let applying = $state(false);
+
+	const isBatch = $derived(targets.length > 1);
+
+	$effect(() => {
+		if (open) {
+			const first = targets[0];
+			name = targets.length === 1 ? (first?.name ?? '') : '';
+			nameFind = '';
+			nameReplace = '';
+			description = targets.length === 1 ? (first?.description ?? '') : '';
+			tagsText = targets.length === 1 ? (first?.tags?.join(', ') ?? '') : '';
+			category = targets.length === 1 ? (first?.category ?? '') : '';
+			modelFamily = targets.length === 1 ? (first?.model_family ?? '') : '';
+		}
+	});
+
+	function parseTags(text: string): string[] {
+		return text
+			.split(/[,，]/)
+			.map((s) => s.trim())
+			.filter(Boolean);
+	}
+
+	function payloadFor(row: WorkflowMeta): Record<string, unknown> | null {
+		const payload: Record<string, unknown> = {};
+		if (isBatch) {
+			if (nameFind && row.name.includes(nameFind)) {
+				payload.name = row.name.split(nameFind).join(nameReplace);
+			}
+			if (description.trim()) payload.description = description.trim();
+			if (tagsText.trim()) {
+				const add = parseTags(tagsText);
+				const merged = [...row.tags, ...add.filter((x) => !row.tags.includes(x))];
+				if (merged.length !== row.tags.length) payload.tags = merged;
+			}
+			if (category.trim()) payload.category = category.trim();
+			if (modelFamily.trim()) payload.model_family = modelFamily.trim();
+		} else {
+			if (name.trim() && name.trim() !== row.name) payload.name = name.trim();
+			if (description !== (row.description ?? '')) payload.description = description.trim();
+			const nextTags = parseTags(tagsText);
+			if (JSON.stringify(nextTags) !== JSON.stringify(row.tags ?? [])) payload.tags = nextTags;
+			if (category.trim() !== (row.category ?? '')) payload.category = category.trim();
+			if (modelFamily.trim() !== (row.model_family ?? '')) payload.model_family = modelFamily.trim();
+		}
+		return Object.keys(payload).length ? payload : null;
+	}
+
+	async function apply() {
+		applying = true;
+		try {
+			let done = 0;
+			let failed = 0;
+			for (const row of targets) {
+				const payload = payloadFor(row);
+				if (!payload) {
+					done++; // nothing to change counts as OK (single mode no-op)
+					continue;
+				}
+				try {
+					await workflows.update(row.id, payload);
+					done++;
+				} catch {
+					failed++;
+				}
+			}
+			if (failed === 0) {
+				toast.success(isBatch ? t('md.applied', { n: done }) : t('md.appliedOne'));
+			} else {
+				toast.error(t('md.partial', { n: done, m: failed }));
+			}
+			open = false;
+			client.invalidateQueries({ queryKey: ['workflows'] });
+			onchanged?.();
+		} catch (err) {
+			toast.error(apiErrorMessage(err));
+		} finally {
+			applying = false;
+		}
+	}
+</script>
+
+<Modal bind:open title={isBatch ? t('md.batchTitle', { n: targets.length }) : t('md.title')} size="md">
+	<div class="md-form">
+		{#if isBatch}
+			<p class="md-hint">
+				<Icon name="info" size={14} />
+				{t('md.batchHint')}
+			</p>
+			<div class="md-grid2">
+				<label class="md-field">
+					<span class="md-label">{t('md.nameFind')}</span>
+					<input class="a-input" value={nameFind} oninput={(e) => (nameFind = e.currentTarget.value)} placeholder={t('md.nameFindPh')} />
+				</label>
+				<label class="md-field">
+					<span class="md-label">{t('md.nameReplace')}</span>
+					<input class="a-input" value={nameReplace} oninput={(e) => (nameReplace = e.currentTarget.value)} placeholder={t('md.nameReplacePh')} />
+				</label>
+			</div>
+			<p class="md-sub">{t('md.nameHint')}</p>
+		{:else}
+			<label class="md-field">
+				<span class="md-label">{t('md.name')}</span>
+				<input class="a-input" value={name} oninput={(e) => (name = e.currentTarget.value)} />
+			</label>
+		{/if}
+
+		<label class="md-field">
+			<span class="md-label">{t('md.description')}</span>
+			<textarea
+				class="a-textarea md-desc"
+				rows="2"
+				value={description}
+				oninput={(e) => (description = e.currentTarget.value)}
+				placeholder={t('md.descriptionPh')}
+			></textarea>
+		</label>
+
+		<label class="md-field">
+			<span class="md-label">{t('md.tags')}</span>
+			<input
+				class="a-input"
+				value={tagsText}
+				oninput={(e) => (tagsText = e.currentTarget.value)}
+				placeholder={t('md.tagsPh')}
+			/>
+			<span class="md-sub">{t('md.tagsHint')}</span>
+		</label>
+
+		<div class="md-grid2">
+			<label class="md-field">
+				<span class="md-label">{t('md.category')}</span>
+				<input
+					class="a-input"
+					value={category}
+					list="md-cat-list"
+					oninput={(e) => (category = e.currentTarget.value)}
+				/>
+				<datalist id="md-cat-list">
+					{#each categories as c (c)}
+						<option value={c}></option>
+					{/each}
+				</datalist>
+			</label>
+			<label class="md-field">
+				<span class="md-label">{t('md.modelFamily')}</span>
+				<input
+					class="a-input"
+					value={modelFamily}
+					list="md-family-list"
+					oninput={(e) => (modelFamily = e.currentTarget.value)}
+				/>
+				<datalist id="md-family-list">
+					{#each families as f (f)}
+						<option value={f}></option>
+					{/each}
+				</datalist>
+			</label>
+		</div>
+	</div>
+
+	{#snippet footer()}
+		<Button variant="secondary" disabled={applying} onclick={() => (open = false)}>{t('common.cancel')}</Button>
+		<Button variant="primary" loading={applying} onclick={() => void apply()}>{t('md.apply')}</Button>
+	{/snippet}
+</Modal>
+
+<style>
+	.md-form {
+		display: flex;
+		flex-direction: column;
+		gap: 12px;
+	}
+	.md-hint {
+		display: flex;
+		align-items: flex-start;
+		gap: 8px;
+		margin: 0;
+		padding: 9px 12px;
+		border-radius: 7px;
+		background: var(--surface-2);
+		color: var(--text-2);
+		font-size: 11.5px;
+		line-height: 1.6;
+	}
+	.md-hint :global(.icon) {
+		color: var(--text-3);
+		flex-shrink: 0;
+		margin-top: 2px;
+	}
+	.md-grid2 {
+		display: grid;
+		grid-template-columns: 1fr 1fr;
+		gap: 12px;
+	}
+	.md-field {
+		display: block;
+	}
+	.md-label {
+		display: block;
+		font-size: 12px;
+		font-weight: 600;
+		color: var(--text-2);
+		margin-bottom: 6px;
+	}
+	.md-desc {
+		width: 100%;
+		box-sizing: border-box;
+		resize: vertical;
+	}
+	.md-sub {
+		display: block;
+		margin-top: 5px;
+		font-size: 11px;
+		color: var(--text-3);
+		line-height: 1.5;
+	}
+	@media (max-width: 760px) {
+		.md-grid2 {
+			grid-template-columns: 1fr;
+		}
+	}
+</style>

calliope-web/src/lib/i18n/de.ts

@@ -1902,7 +1902,7 @@ export const de: Dict = {
 	'home.stageProgress': 'Fünf-Phasen-Fortschritt',
 	'tasks.sourceWorkbench': 'Kreativ-Fluss',
 	'jobst.idSuffix': ' · ComfyUI-Prompt-ID {id}',
-	'jobst.done': 'Fertig',
+	'jobst.done': 'Fixiert',
 	'jobst.doneDetail': 'ComfyUI ist fertig, Ergebnisse gespeichert',
 	'jobst.dryRun': 'Platzhalter',
 	'jobst.dryRunDetail': 'Nur Platzhalter: Dry-run ist aktiv, ComfyUI wurde nicht aufgerufen',
@@ -2097,4 +2097,136 @@ export const de: Dict = {
 	'wfd.nodesPickSuggest': 'Wähle unten die Verwendung und schließe die Ausgangszuordnung ab, bevor du speicherst.',
 	'wfd.showRaw': 'Rohes JSON anzeigen',
 	'wfd.hideRaw': 'Rohes JSON ausblenden',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'UI-Format-Workflows stapelweise importieren; suchen, filtern, annotieren — volles JSON nur bei Bedarf',
+	'wl.batchImport': 'Stapelimport',
+	'wl.dedupe': 'Duplikate entfernen',
+	'wl.dedupeTitle': 'Duplizierte Workflows entfernen',
+	'wl.dedupeConfirm': 'Einträge mit identischem Namen UND Inhalt werden gelöscht (der früheste Import bleibt). Gleicher Name mit anderem Inhalt bleibt unangetastet. Fortfahren?',
+	'wl.dedupeDone': '{n} doppelte Workflows entfernt',
+	'wl.dedupeNone': 'Keine doppelten Workflows gefunden',
+	'wl.favCount': '{n} Favoriten',
+	'wl.searchPh': 'Name, Beschreibung, Tags, Modell suchen… (/ drücken)',
+	'wl.filterLabel': 'Filter',
+	'wl.filterAll': 'Alle',
+	'wl.filterFav': 'Favoriten',
+	'wl.filterPending': 'Offen',
+	'wl.filterDisabled': 'Deaktiviert',
+	'wl.favAria': 'Favorisieren',
+	'wl.unfavAria': 'Favorit entfernen',
+	'wl.categoryLabel': 'Kategorie',
+	'wl.categoryAll': 'Alle Kategorien',
+	'wl.familyLabel': 'Modellfamilie',
+	'wl.familyAll': 'Alle Familien',
+	'wl.mediaLabel': 'Medium',
+	'wl.mediaAll': 'Alle Medien',
+	'wl.mediaImage': 'Bild',
+	'wl.mediaVideo': 'Video',
+	'wl.mediaAudio': 'Audio',
+	'wl.mediaIn': 'Eingabe',
+	'wl.mediaOut': 'Ausgabe',
+	'wl.sortLabel': 'Sortierung',
+	'wl.sortRecent': 'Favoriten / zuletzt',
+	'wl.sortName': 'Name',
+	'wl.resetFilters': 'Filter zurücksetzen',
+	'wl.noMatch': 'Keine Workflows entsprechen den Filtern',
+	'wl.resultCount': '{n} von {m}',
+	'wl.selected': '{n} ausgewählt',
+	'wl.batchLabel': 'Stapelaktionen',
+	'wl.batchAnnotate': 'Annotieren',
+	'wl.batchEnable': 'Aktivieren',
+	'wl.batchDisable': 'Deaktivieren',
+	'wl.clearSel': 'Auswahl aufheben',
+	'wl.batchDone': '{n} Workflows aktualisiert',
+	'wl.batchPartial': '{n} erfolgreich, {m} fehlgeschlagen (zuerst Verwendung und Ausgabe klären)',
+	'wl.selectAll': 'Alle aufgelisteten Workflows auswählen',
+	'wl.rowCheckAria': '{name} auswählen',
+	'wl.headMeta': 'Metadaten',
+	'wl.headActions': 'Aktionen',
+	'wl.enableAria': '{name} aktivieren oder deaktivieren',
+	'wl.enableBlocked': 'Verwendung und Ausgabeknoten vor Aktivierung festlegen',
+	'wl.editMeta': 'Metadaten bearbeiten',
+	'wl.lastUsed': 'Zuletzt verwendet',
+	'wl.moreCount': '{n} mehr anzeigen ({m} gesamt)',
+	'wfCat.basic': 'Grundverarbeitung',
+	'wfCat.audioTts': 'Sprachgenerierung',
+	'wfCat.music': 'Musikgenerierung',
+	'wfCat.image': 'Bildgenerierung',
+	'wfCat.video': 'Videogenerierung',
+	'wfCat.digitalHuman': 'Digitaler Mensch',
+	'wfCat.motionTransfer': 'Bewegungsübertragung',
+	'md.title': 'Workflow-Metadaten',
+	'md.batchTitle': 'Stapel-Annotieren ({n})',
+	'md.batchHint': 'Nur ausgefüllte Felder werden angewendet; Namen per Suchen→Ersetzen, Tags werden ergänzt.',
+	'md.name': 'Anzeigename',
+	'md.nameFind': 'Suchen',
+	'md.nameFindPh': 'Zu ersetzender Text…',
+	'md.nameReplace': 'Ersetzen mit',
+	'md.nameReplacePh': 'Ersatztext…',
+	'md.nameHint': 'Leeres „Suchen“ lässt Namen unverändert.',
+	'md.description': 'Beschreibung',
+	'md.descriptionPh': 'Eine Zeile, was dieser Workflow tut…',
+	'md.tags': 'Tags',
+	'md.tagsPh': 'z. B. schnell, hohe Qualität',
+	'md.tagsHint': 'Kommagetrennt; im Stapelmodus werden sie ergänzt.',
+	'md.category': 'Kategorie',
+	'md.modelFamily': 'Modellfamilie',
+	'md.apply': 'Anwenden',
+	'md.applied': '{n} Workflows aktualisiert',
+	'md.appliedOne': 'Aktualisiert',
+	'md.partial': '{n} erfolgreich, {m} fehlgeschlagen',
+	'wiz.title': 'Workflows stapelweise importieren',
+	'wiz.stepSource': 'Quelle',
+	'wiz.stepReport': 'Prüfbericht',
+	'wiz.stepResult': 'Ergebnis',
+	'wiz.sourceLabel': 'Importquelle',
+	'wiz.modeScan': 'Serververzeichnis scannen',
+	'wiz.modeFiles': 'Lokale Dateien wählen',
+	'wiz.rootLabel': 'Serververzeichnis',
+	'wiz.rootHint': 'Ein Verzeichnispfad auf dem Server (z. B. example_ComfyUI_workflows des Repos); UI-Format-JSONs werden rekursiv gescannt, API-Format und andere übersprungen.',
+	'wiz.preflight': 'Preflight gegen echtes ComfyUI (optional)',
+	'wiz.preflightNone': 'Überspringen (Offline-Konvertierung)',
+	'wiz.preflightHint': 'Mit gewählter Verbindung werden konvertierte Graphen Knoten für Knoten geprüft.',
+	'wiz.pickFiles': 'Lokale Dateien',
+	'wiz.pickFilesBtn': 'JSON-Dateien wählen (mehrere)',
+	'wiz.pickFilesHint': 'ComfyUI-Workflows im UI-Format wählen; Mehrfachauswahl möglich.',
+	'wiz.parsed': '{n} Dateien gelesen',
+	'wiz.notUi': '{n} Dateien sind kein UI-Format (kein nodes-Array) und wurden übersprungen',
+	'wiz.noFiles': 'Zuerst Dateien zum Import auswählen',
+	'wiz.runDry': 'Probelauf starten (nichts wird gespeichert)',
+	'wiz.running': 'Prüfe…',
+	'wiz.total': '{n} Dateien',
+	'wiz.ok': 'OK {n}',
+	'wiz.warn': 'Warnung {n}',
+	'wiz.fail': 'Fehler {n}',
+	'wiz.confirmCount': 'Prüfung nötig {n}',
+	'wiz.importable': 'Importierbar {n}',
+	'wiz.reportHint': 'Der Probelauf speichert nichts. Warnungen werden aktiviert importiert, sobald eine Verwendung angegeben ist; prüfungspflichtige und fehlgeschlagene Dateien werden nie importiert.',
+	'wiz.filterLabel': 'Berichtsfilter',
+	'wiz.filterWarn': 'Nur Warnungen',
+	'wiz.filterBlocked': 'Nicht importierbar',
+	'wiz.searchPh': 'Dateinamen suchen…',
+	'wiz.includeAria': '{name} importieren',
+	'wiz.skipReason': 'Nicht importierbar: {reason}',
+	'wiz.issues': '{n} Konvertierungshinweise',
+	'wiz.usagePick': 'Verwendung:',
+	'wiz.usageNone': 'Vorerst überspringen (nach Import offen)',
+	'wiz.selectedN': '{n} Dateien werden importiert',
+	'wiz.excludedM': '{m} nicht importierbar',
+	'wiz.import': 'Importieren',
+	'wiz.importing': 'Importiere…',
+	'wiz.back': 'Zurück',
+	'wiz.imported': '{n} importiert',
+	'wiz.skipped': '{n} übersprungen',
+	'wiz.conflict': 'Existiert bereits (Duplikat übersprungen)',
+	'wiz.usageApplied': 'Verwendung für {n} neue Importe gesetzt',
+	'wiz.done': 'Fertig',
+	'wiz.again': 'Weitere Charge importieren',
+	'wiz.resultNote': 'Dateien mit identischem Inhalt werden automatisch übersprungen — Wiederholung erzeugt keine Duplikate.',
+	'wiz.importedToast': '{n} Workflows importiert',
+	'wiz.warnTag': 'Warnung',
+	'wiz.confirmTag': 'Prüfung nötig',
+	'wiz.preflightTag': 'Preflight fehlgeschlagen',
+	'wiz.importedTag': 'Importiert #{id}',
 };

calliope-web/src/lib/i18n/en.ts

@@ -1901,7 +1901,7 @@ export const en = {
 	'home.stageProgress': 'Five-stage progress',
 	'tasks.sourceWorkbench': 'Creation flow',
 	'jobst.idSuffix': ' · ComfyUI prompt ID {id}',
-	'jobst.done': 'Done',
+	'jobst.done': 'Fixed',
 	'jobst.doneDetail': 'ComfyUI finished and the results are saved',
 	'jobst.dryRun': 'Placeholder',
 	'jobst.dryRunDetail': 'Placeholder only: Dry-run is on, ComfyUI was not called',
@@ -2096,6 +2096,138 @@ export const en = {
 	'wfd.nodesPickSuggest': 'Pick the usage and finish the output mapping below before saving.',
 	'wfd.showRaw': 'View raw JSON',
 	'wfd.hideRaw': 'Hide raw JSON',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'Batch-import UI-format workflows; search, filter and annotate — full JSON loads only per action',
+	'wl.batchImport': 'Batch import',
+	'wl.dedupe': 'Dedupe',
+	'wl.dedupeTitle': 'Remove duplicate workflows',
+	'wl.dedupeConfirm': 'This deletes entries whose name AND content are identical (the earliest import is kept). Same name with different content is your variant and stays untouched. Continue?',
+	'wl.dedupeDone': 'Removed {n} duplicate workflows',
+	'wl.dedupeNone': 'No duplicate workflows found',
+	'wl.favCount': '{n} favorites',
+	'wl.searchPh': 'Search name, description, tags, model… (press /)',
+	'wl.filterLabel': 'Filters',
+	'wl.filterAll': 'All',
+	'wl.filterFav': 'Favorites',
+	'wl.filterPending': 'Pending',
+	'wl.filterDisabled': 'Disabled',
+	'wl.favAria': 'Favorite',
+	'wl.unfavAria': 'Unfavorite',
+	'wl.categoryLabel': 'Category',
+	'wl.categoryAll': 'All categories',
+	'wl.familyLabel': 'Model family',
+	'wl.familyAll': 'All families',
+	'wl.mediaLabel': 'Media',
+	'wl.mediaAll': 'All media',
+	'wl.mediaImage': 'Image',
+	'wl.mediaVideo': 'Video',
+	'wl.mediaAudio': 'Audio',
+	'wl.mediaIn': 'Input',
+	'wl.mediaOut': 'Output',
+	'wl.sortLabel': 'Sort',
+	'wl.sortRecent': 'Favorite / recent',
+	'wl.sortName': 'Name',
+	'wl.resetFilters': 'Clear filters',
+	'wl.noMatch': 'No workflows match the current filters',
+	'wl.resultCount': '{n} of {m} match',
+	'wl.selected': '{n} selected',
+	'wl.batchLabel': 'Batch actions',
+	'wl.batchAnnotate': 'Annotate',
+	'wl.batchEnable': 'Enable',
+	'wl.batchDisable': 'Disable',
+	'wl.clearSel': 'Clear selection',
+	'wl.batchDone': 'Updated {n} workflows',
+	'wl.batchPartial': '{n} succeeded, {m} failed (usage and output mapping must be settled first)',
+	'wl.selectAll': 'Select all listed workflows',
+	'wl.rowCheckAria': 'Select {name}',
+	'wl.headMeta': 'Metadata',
+	'wl.headActions': 'Actions',
+	'wl.enableAria': 'Enable or disable {name}',
+	'wl.enableBlocked': 'Settle usage and output nodes before enabling',
+	'wl.editMeta': 'Edit metadata',
+	'wl.lastUsed': 'Last used',
+	'wl.moreCount': 'Show {n} more ({m} total)',
+	'wfCat.basic': 'Basic processing',
+	'wfCat.audioTts': 'Speech generation',
+	'wfCat.music': 'Music generation',
+	'wfCat.image': 'Image generation',
+	'wfCat.video': 'Video generation',
+	'wfCat.digitalHuman': 'Digital human',
+	'wfCat.motionTransfer': 'Motion transfer',
+	'md.title': 'Workflow metadata',
+	'md.batchTitle': 'Batch annotate ({n})',
+	'md.batchHint': 'Only filled fields are applied; names are renamed via find→replace and tags are appended.',
+	'md.name': 'Display name',
+	'md.nameFind': 'Find',
+	'md.nameFindPh': 'Text to replace…',
+	'md.nameReplace': 'Replace with',
+	'md.nameReplacePh': 'Replacement text…',
+	'md.nameHint': 'Leave “Find” empty to keep names unchanged.',
+	'md.description': 'Description',
+	'md.descriptionPh': 'One line about what this workflow does…',
+	'md.tags': 'Tags',
+	'md.tagsPh': 'e.g. fast, high quality',
+	'md.tagsHint': 'Comma separated; appended in batch mode.',
+	'md.category': 'Category',
+	'md.modelFamily': 'Model family',
+	'md.apply': 'Apply',
+	'md.applied': 'Updated {n} workflows',
+	'md.appliedOne': 'Updated',
+	'md.partial': '{n} succeeded, {m} failed',
+	'wiz.title': 'Batch import workflows',
+	'wiz.stepSource': 'Source',
+	'wiz.stepReport': 'Dry-run report',
+	'wiz.stepResult': 'Result',
+	'wiz.sourceLabel': 'Import source',
+	'wiz.modeScan': 'Scan server directory',
+	'wiz.modeFiles': 'Pick local files',
+	'wiz.rootLabel': 'Server directory',
+	'wiz.rootHint': 'A directory path on the server (e.g. the repo’s example_ComfyUI_workflows); UI-format ComfyUI JSONs inside are scanned recursively — API-format and other JSONs are skipped.',
+	'wiz.preflight': 'Preflight against a live ComfyUI (optional)',
+	'wiz.preflightNone': 'Skip (offline conversion)',
+	'wiz.preflightHint': 'With a connection selected, converted graphs are checked node-by-node against that ComfyUI.',
+	'wiz.pickFiles': 'Local files',
+	'wiz.pickFilesBtn': 'Choose JSON files (multiple)',
+	'wiz.pickFilesHint': 'Pick ComfyUI UI-format workflow JSONs; multiple selection supported.',
+	'wiz.parsed': '{n} files read',
+	'wiz.notUi': '{n} files are not UI-format (no nodes array) and were skipped',
+	'wiz.noFiles': 'Choose files to import first',
+	'wiz.runDry': 'Run dry-run (nothing stored)',
+	'wiz.running': 'Checking…',
+	'wiz.total': '{n} files',
+	'wiz.ok': 'OK {n}',
+	'wiz.warn': 'Warn {n}',
+	'wiz.fail': 'Fail {n}',
+	'wiz.confirmCount': 'Need review {n}',
+	'wiz.importable': 'Importable {n}',
+	'wiz.reportHint': 'The dry-run stores nothing. Warn items import enabled once a usage is supplied; needs-review and failed items are never imported nor marked runnable.',
+	'wiz.filterLabel': 'Report filters',
+	'wiz.filterWarn': 'Warnings only',
+	'wiz.filterBlocked': 'Not importable',
+	'wiz.searchPh': 'Search file name…',
+	'wiz.includeAria': 'Import {name}',
+	'wiz.skipReason': 'Not importable: {reason}',
+	'wiz.issues': '{n} conversion notes',
+	'wiz.usagePick': 'Usage:',
+	'wiz.usageNone': 'Skip for now (pending after import)',
+	'wiz.selectedN': '{n} files will be imported',
+	'wiz.excludedM': '{m} not importable',
+	'wiz.import': 'Import',
+	'wiz.importing': 'Importing…',
+	'wiz.back': 'Back',
+	'wiz.imported': 'Imported {n}',
+	'wiz.skipped': 'Skipped {n}',
+	'wiz.conflict': 'Already exists (duplicate skipped)',
+	'wiz.usageApplied': 'Usage supplied for {n} new imports',
+	'wiz.done': 'Done',
+	'wiz.again': 'Import another batch',
+	'wiz.resultNote': 'Files with identical content are skipped automatically — re-running never creates duplicates.',
+	'wiz.importedToast': 'Imported {n} workflows',
+	'wiz.warnTag': 'Warn',
+	'wiz.confirmTag': 'Needs review',
+	'wiz.preflightTag': 'Preflight failed',
+	'wiz.importedTag': 'Imported #{id}',
 };
 
 export type Dict = typeof en;

calliope-web/src/lib/i18n/es.ts

@@ -1902,7 +1902,7 @@ export const es: Dict = {
 	'home.stageProgress': 'Progreso de cinco etapas',
 	'tasks.sourceWorkbench': 'Flujo de creación',
 	'jobst.idSuffix': ' · ID de prompt de ComfyUI {id}',
-	'jobst.done': 'Listo',
+	'jobst.done': 'Fijado',
 	'jobst.doneDetail': 'ComfyUI terminó y los resultados se guardaron',
 	'jobst.dryRun': 'Marcador',
 	'jobst.dryRunDetail': 'Solo marcador: Dry-run activo, no se llamó a ComfyUI',
@@ -2097,4 +2097,136 @@ export const es: Dict = {
 	'wfd.nodesPickSuggest': 'Elige el uso y completa el mapeo de salida abajo antes de guardar.',
 	'wfd.showRaw': 'Ver JSON original',
 	'wfd.hideRaw': 'Ocultar JSON original',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'Importa por lotes flujos en formato UI; busca, filtra y anota — el JSON completo solo se carga al actuar',
+	'wl.batchImport': 'Importar por lotes',
+	'wl.dedupe': 'Deduplicar',
+	'wl.dedupeTitle': 'Eliminar flujos duplicados',
+	'wl.dedupeConfirm': 'Se eliminan las entradas con nombre Y contenido idénticos (se conserva la primera importada). Mismo nombre con contenido distinto no se toca. ¿Continuar?',
+	'wl.dedupeDone': 'Se eliminaron {n} flujos duplicados',
+	'wl.dedupeNone': 'No se encontraron flujos duplicados',
+	'wl.favCount': '{n} favoritos',
+	'wl.searchPh': 'Buscar nombre, descripción, etiquetas, modelo… (pulsa /)',
+	'wl.filterLabel': 'Filtros',
+	'wl.filterAll': 'Todos',
+	'wl.filterFav': 'Favoritos',
+	'wl.filterPending': 'Pendientes',
+	'wl.filterDisabled': 'Desactivados',
+	'wl.favAria': 'Marcar como favorito',
+	'wl.unfavAria': 'Quitar de favoritos',
+	'wl.categoryLabel': 'Categoría',
+	'wl.categoryAll': 'Todas las categorías',
+	'wl.familyLabel': 'Familia de modelo',
+	'wl.familyAll': 'Todas las familias',
+	'wl.mediaLabel': 'Medio',
+	'wl.mediaAll': 'Todos los medios',
+	'wl.mediaImage': 'Imagen',
+	'wl.mediaVideo': 'Vídeo',
+	'wl.mediaAudio': 'Audio',
+	'wl.mediaIn': 'Entrada',
+	'wl.mediaOut': 'Salida',
+	'wl.sortLabel': 'Orden',
+	'wl.sortRecent': 'Favoritos / recientes',
+	'wl.sortName': 'Nombre',
+	'wl.resetFilters': 'Limpiar filtros',
+	'wl.noMatch': 'Ningún flujo coincide con los filtros',
+	'wl.resultCount': '{n} de {m}',
+	'wl.selected': '{n} seleccionados',
+	'wl.batchLabel': 'Acciones por lotes',
+	'wl.batchAnnotate': 'Anotar',
+	'wl.batchEnable': 'Activar',
+	'wl.batchDisable': 'Desactivar',
+	'wl.clearSel': 'Limpiar selección',
+	'wl.batchDone': '{n} flujos actualizados',
+	'wl.batchPartial': '{n} con éxito, {m} fallidos (confirma antes uso y salida)',
+	'wl.selectAll': 'Seleccionar todos los flujos listados',
+	'wl.rowCheckAria': 'Seleccionar {name}',
+	'wl.headMeta': 'Metadatos',
+	'wl.headActions': 'Acciones',
+	'wl.enableAria': 'Activar o desactivar {name}',
+	'wl.enableBlocked': 'Confirma uso y nodos de salida antes de activar',
+	'wl.editMeta': 'Editar metadatos',
+	'wl.lastUsed': 'Último uso',
+	'wl.moreCount': 'Mostrar {n} más ({m} en total)',
+	'wfCat.basic': 'Procesamiento básico',
+	'wfCat.audioTts': 'Generación de voz',
+	'wfCat.music': 'Generación de música',
+	'wfCat.image': 'Generación de imágenes',
+	'wfCat.video': 'Generación de vídeo',
+	'wfCat.digitalHuman': 'Humano digital',
+	'wfCat.motionTransfer': 'Transferencia de movimiento',
+	'md.title': 'Metadatos del flujo',
+	'md.batchTitle': 'Anotar por lotes ({n})',
+	'md.batchHint': 'Solo se aplican los campos rellenados; los nombres se renombran con buscar→reemplazar y las etiquetas se añaden.',
+	'md.name': 'Nombre visible',
+	'md.nameFind': 'Buscar',
+	'md.nameFindPh': 'Texto a reemplazar…',
+	'md.nameReplace': 'Reemplazar por',
+	'md.nameReplacePh': 'Texto de reemplazo…',
+	'md.nameHint': 'Deja «Buscar» vacío para no cambiar nombres.',
+	'md.description': 'Descripción',
+	'md.descriptionPh': 'Una línea sobre qué hace este flujo…',
+	'md.tags': 'Etiquetas',
+	'md.tagsPh': 'p. ej. rápido, alta calidad',
+	'md.tagsHint': 'Separadas por comas; en lote se añaden.',
+	'md.category': 'Categoría',
+	'md.modelFamily': 'Familia de modelo',
+	'md.apply': 'Aplicar',
+	'md.applied': '{n} flujos actualizados',
+	'md.appliedOne': 'Actualizado',
+	'md.partial': '{n} con éxito, {m} fallidos',
+	'wiz.title': 'Importar flujos por lotes',
+	'wiz.stepSource': 'Origen',
+	'wiz.stepReport': 'Informe de prueba',
+	'wiz.stepResult': 'Resultado',
+	'wiz.sourceLabel': 'Origen de importación',
+	'wiz.modeScan': 'Escanear carpeta del servidor',
+	'wiz.modeFiles': 'Elegir archivos locales',
+	'wiz.rootLabel': 'Carpeta del servidor',
+	'wiz.rootHint': 'Ruta de carpeta en el servidor (p. ej. example_ComfyUI_workflows del repo); se escanean recursivamente los JSON en formato UI, el formato API y otros JSON se omiten.',
+	'wiz.preflight': 'Preflight contra un ComfyUI real (opcional)',
+	'wiz.preflightNone': 'Omitir (conversión sin conexión)',
+	'wiz.preflightHint': 'Con una conexión elegida, los grafos convertidos se verifican nodo a nodo.',
+	'wiz.pickFiles': 'Archivos locales',
+	'wiz.pickFilesBtn': 'Elegir archivos JSON (varios)',
+	'wiz.pickFilesHint': 'Elige JSON de flujos ComfyUI en formato UI; se admite selección múltiple.',
+	'wiz.parsed': '{n} archivos leídos',
+	'wiz.notUi': '{n} archivos no son formato UI (sin array nodes) y se omitieron',
+	'wiz.noFiles': 'Elige primero los archivos a importar',
+	'wiz.runDry': 'Ejecutar prueba (no se guarda nada)',
+	'wiz.running': 'Comprobando…',
+	'wiz.total': '{n} archivos',
+	'wiz.ok': 'OK {n}',
+	'wiz.warn': 'Avisos {n}',
+	'wiz.fail': 'Fallos {n}',
+	'wiz.confirmCount': 'Requieren revisión {n}',
+	'wiz.importable': 'Importables {n}',
+	'wiz.reportHint': 'La prueba no guarda nada. Los avisos se importan activados al indicar un uso; los que requieren revisión o fallaron nunca se importan.',
+	'wiz.filterLabel': 'Filtros del informe',
+	'wiz.filterWarn': 'Solo avisos',
+	'wiz.filterBlocked': 'No importables',
+	'wiz.searchPh': 'Buscar nombre de archivo…',
+	'wiz.includeAria': 'Importar {name}',
+	'wiz.skipReason': 'No importable: {reason}',
+	'wiz.issues': '{n} notas de conversión',
+	'wiz.usagePick': 'Uso:',
+	'wiz.usageNone': 'Omitir por ahora (pendiente tras importar)',
+	'wiz.selectedN': 'Se importarán {n} archivos',
+	'wiz.excludedM': '{m} no importables',
+	'wiz.import': 'Importar',
+	'wiz.importing': 'Importando…',
+	'wiz.back': 'Atrás',
+	'wiz.imported': '{n} importados',
+	'wiz.skipped': '{n} omitidos',
+	'wiz.conflict': 'Ya existe (duplicado omitido)',
+	'wiz.usageApplied': 'Uso indicado para {n} importaciones nuevas',
+	'wiz.done': 'Hecho',
+	'wiz.again': 'Importar otro lote',
+	'wiz.resultNote': 'Los archivos con contenido idéntico se omiten automáticamente; repetir no crea duplicados.',
+	'wiz.importedToast': '{n} flujos importados',
+	'wiz.warnTag': 'Aviso',
+	'wiz.confirmTag': 'Requiere revisión',
+	'wiz.preflightTag': 'Preflight fallido',
+	'wiz.importedTag': 'Importado #{id}',
 };

calliope-web/src/lib/i18n/fr.ts

@@ -1902,7 +1902,7 @@ export const fr: Dict = {
 	'home.stageProgress': 'Progression en cinq étapes',
 	'tasks.sourceWorkbench': 'Flux de création',
 	'jobst.idSuffix': ' · ID de prompt ComfyUI {id}',
-	'jobst.done': 'Terminé',
+	'jobst.done': 'Fixé',
 	'jobst.doneDetail': 'ComfyUI a terminé, résultats enregistrés',
 	'jobst.dryRun': 'Substitut',
 	'jobst.dryRunDetail': 'Substitut uniquement : Dry-run actif, ComfyUI n\'a pas été appelé',
@@ -2097,4 +2097,136 @@ export const fr: Dict = {
 	'wfd.nodesPickSuggest': "Choisissez l'usage et terminez le mappage des sorties ci-dessous avant d'enregistrer.",
 	'wfd.showRaw': 'Voir le JSON brut',
 	'wfd.hideRaw': 'Masquer le JSON brut',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'Importez par lots des flux au format UI ; cherchez, filtrez, annotez — le JSON complet ne se charge qu’à l’action',
+	'wl.batchImport': 'Import par lot',
+	'wl.dedupe': 'Dédupliquer',
+	'wl.dedupeTitle': 'Supprimer les flux dupliqués',
+	'wl.dedupeConfirm': 'Les entrées au nom ET contenu identiques seront supprimées (le premier import est conservé). Même nom mais contenu différent = votre variante, intact. Continuer ?',
+	'wl.dedupeDone': '{n} flux dupliqués supprimés',
+	'wl.dedupeNone': 'Aucun flux dupliqué trouvé',
+	'wl.favCount': '{n} favoris',
+	'wl.searchPh': 'Rechercher nom, description, tags, modèle… (touche /)',
+	'wl.filterLabel': 'Filtres',
+	'wl.filterAll': 'Tous',
+	'wl.filterFav': 'Favoris',
+	'wl.filterPending': 'À confirmer',
+	'wl.filterDisabled': 'Désactivés',
+	'wl.favAria': 'Mettre en favori',
+	'wl.unfavAria': 'Retirer des favoris',
+	'wl.categoryLabel': 'Catégorie',
+	'wl.categoryAll': 'Toutes les catégories',
+	'wl.familyLabel': 'Famille de modèle',
+	'wl.familyAll': 'Toutes les familles',
+	'wl.mediaLabel': 'Média',
+	'wl.mediaAll': 'Tous les médias',
+	'wl.mediaImage': 'Image',
+	'wl.mediaVideo': 'Vidéo',
+	'wl.mediaAudio': 'Audio',
+	'wl.mediaIn': 'Entrée',
+	'wl.mediaOut': 'Sortie',
+	'wl.sortLabel': 'Tri',
+	'wl.sortRecent': 'Favoris / récents',
+	'wl.sortName': 'Nom',
+	'wl.resetFilters': 'Effacer les filtres',
+	'wl.noMatch': 'Aucun flux ne correspond aux filtres',
+	'wl.resultCount': '{n} sur {m}',
+	'wl.selected': '{n} sélectionnés',
+	'wl.batchLabel': 'Actions groupées',
+	'wl.batchAnnotate': 'Annoter',
+	'wl.batchEnable': 'Activer',
+	'wl.batchDisable': 'Désactiver',
+	'wl.clearSel': 'Effacer la sélection',
+	'wl.batchDone': '{n} flux mis à jour',
+	'wl.batchPartial': '{n} réussis, {m} échoués (usage et sortie à confirmer d’abord)',
+	'wl.selectAll': 'Sélectionner tous les flux listés',
+	'wl.rowCheckAria': 'Sélectionner {name}',
+	'wl.headMeta': 'Métadonnées',
+	'wl.headActions': 'Actions',
+	'wl.enableAria': 'Activer ou désactiver {name}',
+	'wl.enableBlocked': 'Confirmez l’usage et les nœuds de sortie avant activation',
+	'wl.editMeta': 'Modifier les métadonnées',
+	'wl.lastUsed': 'Dernière utilisation',
+	'wl.moreCount': 'Afficher {n} de plus ({m} au total)',
+	'wfCat.basic': 'Traitement de base',
+	'wfCat.audioTts': 'Génération de voix',
+	'wfCat.music': 'Génération de musique',
+	'wfCat.image': 'Génération d’images',
+	'wfCat.video': 'Génération de vidéo',
+	'wfCat.digitalHuman': 'Humain numérique',
+	'wfCat.motionTransfer': 'Transfert de mouvement',
+	'md.title': 'Métadonnées du flux',
+	'md.batchTitle': 'Annotation groupée ({n})',
+	'md.batchHint': 'Seuls les champs remplis sont appliqués ; renommage par rechercher→remplacer, tags ajoutés.',
+	'md.name': 'Nom affiché',
+	'md.nameFind': 'Rechercher',
+	'md.nameFindPh': 'Texte à remplacer…',
+	'md.nameReplace': 'Remplacer par',
+	'md.nameReplacePh': 'Texte de remplacement…',
+	'md.nameHint': 'Laissez « Rechercher » vide pour ne pas renommer.',
+	'md.description': 'Description',
+	'md.descriptionPh': 'Une ligne sur ce que fait ce flux…',
+	'md.tags': 'Tags',
+	'md.tagsPh': 'ex. rapide, haute qualité',
+	'md.tagsHint': 'Séparés par des virgules ; ajoutés en mode groupé.',
+	'md.category': 'Catégorie',
+	'md.modelFamily': 'Famille de modèle',
+	'md.apply': 'Appliquer',
+	'md.applied': '{n} flux mis à jour',
+	'md.appliedOne': 'Mis à jour',
+	'md.partial': '{n} réussis, {m} échoués',
+	'wiz.title': 'Import de flux par lot',
+	'wiz.stepSource': 'Source',
+	'wiz.stepReport': 'Rapport de test',
+	'wiz.stepResult': 'Résultat',
+	'wiz.sourceLabel': 'Source d’import',
+	'wiz.modeScan': 'Scanner un dossier serveur',
+	'wiz.modeFiles': 'Choisir des fichiers locaux',
+	'wiz.rootLabel': 'Dossier serveur',
+	'wiz.rootHint': 'Chemin d’un dossier sur le serveur (ex. example_ComfyUI_workflows du dépôt) ; les JSON au format UI sont scannés récursivement, le format API et les autres sont ignorés.',
+	'wiz.preflight': 'Pré-vérification sur un ComfyUI réel (facultatif)',
+	'wiz.preflightNone': 'Passer (conversion hors ligne)',
+	'wiz.preflightHint': 'Avec une connexion choisie, les graphes convertis sont vérifiés nœud par nœud.',
+	'wiz.pickFiles': 'Fichiers locaux',
+	'wiz.pickFilesBtn': 'Choisir des fichiers JSON (plusieurs)',
+	'wiz.pickFilesHint': 'Choisissez des flux ComfyUI au format UI ; sélection multiple possible.',
+	'wiz.parsed': '{n} fichiers lus',
+	'wiz.notUi': '{n} fichiers ne sont pas au format UI (pas de tableau nodes), ignorés',
+	'wiz.noFiles': 'Choisissez d’abord des fichiers à importer',
+	'wiz.runDry': 'Lancer le test (rien n’est enregistré)',
+	'wiz.running': 'Vérification…',
+	'wiz.total': '{n} fichiers',
+	'wiz.ok': 'OK {n}',
+	'wiz.warn': 'Avertissements {n}',
+	'wiz.fail': 'Échecs {n}',
+	'wiz.confirmCount': 'À vérifier {n}',
+	'wiz.importable': 'Importables {n}',
+	'wiz.reportHint': 'Le test n’écrit rien. Les avertissements s’importent activés dès qu’un usage est fourni ; les fichiers à vérifier ou en échec ne sont jamais importés.',
+	'wiz.filterLabel': 'Filtres du rapport',
+	'wiz.filterWarn': 'Avertissements seuls',
+	'wiz.filterBlocked': 'Non importables',
+	'wiz.searchPh': 'Rechercher un nom de fichier…',
+	'wiz.includeAria': 'Importer {name}',
+	'wiz.skipReason': 'Non importable : {reason}',
+	'wiz.issues': '{n} notes de conversion',
+	'wiz.usagePick': 'Usage :',
+	'wiz.usageNone': 'Passer pour l’instant (à confirmer après import)',
+	'wiz.selectedN': '{n} fichiers seront importés',
+	'wiz.excludedM': '{m} non importables',
+	'wiz.import': 'Importer',
+	'wiz.importing': 'Import…',
+	'wiz.back': 'Retour',
+	'wiz.imported': '{n} importés',
+	'wiz.skipped': '{n} ignorés',
+	'wiz.conflict': 'Existe déjà (doublon ignoré)',
+	'wiz.usageApplied': 'Usage fourni pour {n} nouveaux imports',
+	'wiz.done': 'Terminé',
+	'wiz.again': 'Importer un autre lot',
+	'wiz.resultNote': 'Les fichiers au contenu identique sont ignorés automatiquement — relancer ne crée jamais de doublons.',
+	'wiz.importedToast': '{n} flux importés',
+	'wiz.warnTag': 'Avertissement',
+	'wiz.confirmTag': 'À vérifier',
+	'wiz.preflightTag': 'Pré-vérification échouée',
+	'wiz.importedTag': 'Importé #{id}',
 };

calliope-web/src/lib/i18n/ja.ts

@@ -1900,7 +1900,7 @@ export const ja: Dict = {
 	'home.stageProgress': '五段階の進捗',
 	'tasks.sourceWorkbench': '制作フロー',
 	'jobst.idSuffix': ' · ComfyUI プロンプト ID {id}',
-	'jobst.done': '完了',
+	'jobst.done': '定着',
 	'jobst.doneDetail': 'ComfyUI の実行が完了し、結果を保存しました',
 	'jobst.dryRun': 'プレースホルダー',
 	'jobst.dryRunDetail': 'プレースホルダーのみ：Dry-run が有効で ComfyUI は呼び出されていません',
@@ -2095,4 +2095,136 @@ export const ja: Dict = {
 	'wfd.nodesPickSuggest': '保存前に下で用途を選び、出力マッピングを完了してください。',
 	'wfd.showRaw': '元の JSON を見る',
 	'wfd.hideRaw': '元の JSON を閉じる',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'UI 形式ワークフローを一括取り込み、検索・絞り込み・注釈管理。完全な JSON は操作時のみ読み込み',
+	'wl.batchImport': '一括取り込み',
+	'wl.dedupe': '重複を削除',
+	'wl.dedupeTitle': '重複ワークフローの削除',
+	'wl.dedupeConfirm': '名前と内容が完全に同一の項目を削除します（最初に取り込んだものを残す）。名前が同じでも内容が異なるものは触れません。実行しますか？',
+	'wl.dedupeDone': '重複 {n} 件を削除しました',
+	'wl.dedupeNone': '重複するワークフローはありません',
+	'wl.favCount': 'お気に入り {n} 件',
+	'wl.searchPh': '名前・説明・タグ・モデルを検索…（/ で移動）',
+	'wl.filterLabel': '絞り込み',
+	'wl.filterAll': 'すべて',
+	'wl.filterFav': 'お気に入り',
+	'wl.filterPending': '要確認',
+	'wl.filterDisabled': '無効',
+	'wl.favAria': 'お気に入りに追加',
+	'wl.unfavAria': 'お気に入りから外す',
+	'wl.categoryLabel': 'カテゴリ',
+	'wl.categoryAll': 'すべてのカテゴリ',
+	'wl.familyLabel': 'モデルファミリー',
+	'wl.familyAll': 'すべてのファミリー',
+	'wl.mediaLabel': 'メディア',
+	'wl.mediaAll': 'すべてのメディア',
+	'wl.mediaImage': '画像',
+	'wl.mediaVideo': '動画',
+	'wl.mediaAudio': '音声',
+	'wl.mediaIn': '入力',
+	'wl.mediaOut': '出力',
+	'wl.sortLabel': '並び替え',
+	'wl.sortRecent': 'お気に入り / 最近',
+	'wl.sortName': '名前',
+	'wl.resetFilters': '絞り込みを解除',
+	'wl.noMatch': '条件に合うワークフローがありません',
+	'wl.resultCount': '{n} / {m} 件',
+	'wl.selected': '{n} 件選択中',
+	'wl.batchLabel': '一括操作',
+	'wl.batchAnnotate': '一括注釈',
+	'wl.batchEnable': '有効化',
+	'wl.batchDisable': '無効化',
+	'wl.clearSel': '選択を解除',
+	'wl.batchDone': '{n} 件を更新しました',
+	'wl.batchPartial': '{n} 件成功、{m} 件失敗（用途と出力の確認が必要）',
+	'wl.selectAll': '表示中のワークフローをすべて選択',
+	'wl.rowCheckAria': '{name} を選択',
+	'wl.headMeta': 'メタデータ',
+	'wl.headActions': '操作',
+	'wl.enableAria': '{name} を有効化・無効化',
+	'wl.enableBlocked': '用途と出力ノードを確定してから有効化してください',
+	'wl.editMeta': 'メタデータを編集',
+	'wl.lastUsed': '最終使用',
+	'wl.moreCount': 'さらに {n} 件表示（全 {m} 件）',
+	'wfCat.basic': '基本処理',
+	'wfCat.audioTts': '音声生成',
+	'wfCat.music': '音楽生成',
+	'wfCat.image': '画像生成',
+	'wfCat.video': '動画生成',
+	'wfCat.digitalHuman': 'デジタルヒューマン',
+	'wfCat.motionTransfer': 'モーション転送',
+	'md.title': 'ワークフローの注釈',
+	'md.batchTitle': '一括注釈（{n} 件）',
+	'md.batchHint': '入力したフィールドのみ適用。名前は検索→置換で変更、タグは追加されます。',
+	'md.name': '表示名',
+	'md.nameFind': '検索',
+	'md.nameFindPh': '置換する文字…',
+	'md.nameReplace': '置換後',
+	'md.nameReplacePh': '置換する文字…',
+	'md.nameHint': '「検索」が空なら名前は変更されません。',
+	'md.description': '説明',
+	'md.descriptionPh': 'このワークフローの用途を一行で…',
+	'md.tags': 'タグ',
+	'md.tagsPh': '例: 高速, 高品質',
+	'md.tagsHint': 'カンマ区切り。一括モードでは追加されます。',
+	'md.category': 'カテゴリ',
+	'md.modelFamily': 'モデルファミリー',
+	'md.apply': '適用',
+	'md.applied': '{n} 件を更新しました',
+	'md.appliedOne': '更新しました',
+	'md.partial': '{n} 件成功、{m} 件失敗',
+	'wiz.title': 'ワークフローの一括取り込み',
+	'wiz.stepSource': '取り込み元',
+	'wiz.stepReport': '事前チェック',
+	'wiz.stepResult': '結果',
+	'wiz.sourceLabel': '取り込み元',
+	'wiz.modeScan': 'サーバーディレクトリをスキャン',
+	'wiz.modeFiles': 'ローカルファイルを選択',
+	'wiz.rootLabel': 'サーバーディレクトリ',
+	'wiz.rootHint': 'サーバー上のディレクトリパス（例: リポジトリの example_ComfyUI_workflows）。UI 形式の JSON を再帰的にスキャンし、API 形式などは自動的にスキップします。',
+	'wiz.preflight': '実機 ComfyUI で事前チェック（任意）',
+	'wiz.preflightNone': 'スキップ（オフライン変換）',
+	'wiz.preflightHint': '接続を選ぶと、変換結果をその ComfyUI のノート・モデルと照合します。',
+	'wiz.pickFiles': 'ローカルファイル',
+	'wiz.pickFilesBtn': 'JSON ファイルを選択（複数可）',
+	'wiz.pickFilesHint': 'ComfyUI UI 形式のワークフロー JSON を選んでください。複数選択できます。',
+	'wiz.parsed': '{n} ファイルを読み込みました',
+	'wiz.notUi': '{n} ファイルは UI 形式でないため（nodes 配列なし）スキップしました',
+	'wiz.noFiles': '先に取り込むファイルを選んでください',
+	'wiz.runDry': '事前チェックを実行（保存しません）',
+	'wiz.running': 'チェック中…',
+	'wiz.total': '全体 {n} ファイル',
+	'wiz.ok': '正常 {n}',
+	'wiz.warn': '警告 {n}',
+	'wiz.fail': '失敗 {n}',
+	'wiz.confirmCount': '要確認 {n}',
+	'wiz.importable': '取り込み可 {n}',
+	'wiz.reportHint': '事前チェックは何も書き込みません。警告は用途を補えば有効な状態で取り込まれ、要確認・失敗のファイルは取り込まれません。',
+	'wiz.filterLabel': 'レポートの絞り込み',
+	'wiz.filterWarn': '警告のみ',
+	'wiz.filterBlocked': '取り込み不可',
+	'wiz.searchPh': 'ファイル名を検索…',
+	'wiz.includeAria': '{name} を取り込む',
+	'wiz.skipReason': '取り込み不可: {reason}',
+	'wiz.issues': '変換メモ {n} 件',
+	'wiz.usagePick': '用途：',
+	'wiz.usageNone': '今はスキップ（取り込み後に要確認）',
+	'wiz.selectedN': '{n} ファイルを取り込みます',
+	'wiz.excludedM': '{m} 件は取り込み不可',
+	'wiz.import': '取り込む',
+	'wiz.importing': '取り込み中…',
+	'wiz.back': '戻る',
+	'wiz.imported': '{n} 件取り込み完了',
+	'wiz.skipped': '{n} 件スキップ',
+	'wiz.conflict': '既に存在（重複は自動スキップ）',
+	'wiz.usageApplied': '新規取り込み {n} 件に用途を設定しました',
+	'wiz.done': '完了',
+	'wiz.again': '続けて取り込む',
+	'wiz.resultNote': '内容が同一のファイルは自動スキップされ、再実行しても重複は作られません。',
+	'wiz.importedToast': '{n} 件のワークフローを取り込みました',
+	'wiz.warnTag': '警告',
+	'wiz.confirmTag': '要確認',
+	'wiz.preflightTag': '事前チェック不合格',
+	'wiz.importedTag': '取り込み済み #{id}',
 };

calliope-web/src/lib/i18n/ko.ts

@@ -1900,7 +1900,7 @@ export const ko: Dict = {
 	'home.stageProgress': '5단계 진행',
 	'tasks.sourceWorkbench': '제작 흐름',
 	'jobst.idSuffix': ' · ComfyUI 프롬프트 ID {id}',
-	'jobst.done': '완료',
+	'jobst.done': '정착',
 	'jobst.doneDetail': 'ComfyUI 실행이 끝나 결과를 저장했습니다',
 	'jobst.dryRun': '자리표시자',
 	'jobst.dryRunDetail': '자리표시자만: Dry-run이 켜져 있어 ComfyUI를 호출하지 않았습니다',
@@ -2095,4 +2095,136 @@ export const ko: Dict = {
 	'wfd.nodesPickSuggest': '저장하기 전에 아래에서 용도를 선택하고 출력 매핑을 완료하세요.',
 	'wfd.showRaw': '원본 JSON 보기',
 	'wfd.hideRaw': '원본 JSON 접기',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': 'UI 형식 워크플로 일괄 가져오기, 검색·필터·주석 관리. 전체 JSON은 작업 시에만 로드',
+	'wl.batchImport': '일괄 가져오기',
+	'wl.dedupe': '중복 정리',
+	'wl.dedupeTitle': '중복 워크플로 삭제',
+	'wl.dedupeConfirm': '이름과 내용이 완전히 같은 항목을 삭제합니다(가장 먼저 가져온 것 유지). 이름이 같아도 내용이 다르면 그대로 둡니다. 계속할까요?',
+	'wl.dedupeDone': '중복 워크플로 {n}건 삭제',
+	'wl.dedupeNone': '중복 워크플로가 없습니다',
+	'wl.favCount': '즐겨찾기 {n}건',
+	'wl.searchPh': '이름·설명·태그·모델 검색… (/ 키)',
+	'wl.filterLabel': '필터',
+	'wl.filterAll': '전체',
+	'wl.filterFav': '즐겨찾기',
+	'wl.filterPending': '확인 필요',
+	'wl.filterDisabled': '비활성',
+	'wl.favAria': '즐겨찾기 추가',
+	'wl.unfavAria': '즐겨찾기 해제',
+	'wl.categoryLabel': '분류',
+	'wl.categoryAll': '전체 분류',
+	'wl.familyLabel': '모델 계열',
+	'wl.familyAll': '전체 계열',
+	'wl.mediaLabel': '미디어',
+	'wl.mediaAll': '전체 미디어',
+	'wl.mediaImage': '이미지',
+	'wl.mediaVideo': '영상',
+	'wl.mediaAudio': '오디오',
+	'wl.mediaIn': '입력',
+	'wl.mediaOut': '출력',
+	'wl.sortLabel': '정렬',
+	'wl.sortRecent': '즐겨찾기 / 최근',
+	'wl.sortName': '이름',
+	'wl.resetFilters': '필터 해제',
+	'wl.noMatch': '조건에 맞는 워크플로가 없습니다',
+	'wl.resultCount': '{n} / {m}',
+	'wl.selected': '{n}건 선택됨',
+	'wl.batchLabel': '일괄 작업',
+	'wl.batchAnnotate': '일괄 주석',
+	'wl.batchEnable': '활성화',
+	'wl.batchDisable': '비활성화',
+	'wl.clearSel': '선택 해제',
+	'wl.batchDone': '{n}건 업데이트',
+	'wl.batchPartial': '{n}건 성공, {m}건 실패(용도와 출력 먼저 확정)',
+	'wl.selectAll': '나열된 워크플로 모두 선택',
+	'wl.rowCheckAria': '{name} 선택',
+	'wl.headMeta': '메타데이터',
+	'wl.headActions': '작업',
+	'wl.enableAria': '{name} 활성화/비활성화',
+	'wl.enableBlocked': '활성화 전에 용도와 출력 노드를 확정하세요',
+	'wl.editMeta': '메타데이터 편집',
+	'wl.lastUsed': '마지막 사용',
+	'wl.moreCount': '{n}건 더 보기(전체 {m}건)',
+	'wfCat.basic': '기본 처리',
+	'wfCat.audioTts': '음성 생성',
+	'wfCat.music': '음악 생성',
+	'wfCat.image': '이미지 생성',
+	'wfCat.video': '영상 생성',
+	'wfCat.digitalHuman': '디지털 휴먼',
+	'wfCat.motionTransfer': '모션 전이',
+	'md.title': '워크플로 주석',
+	'md.batchTitle': '일괄 주석({n}건)',
+	'md.batchHint': '입력한 필드만 적용됩니다. 이름은 찾기→바꾸기로 변경, 태그는 추가됩니다.',
+	'md.name': '표시 이름',
+	'md.nameFind': '찾기',
+	'md.nameFindPh': '바꿀 문자…',
+	'md.nameReplace': '바꾸기',
+	'md.nameReplacePh': '대체 문자…',
+	'md.nameHint': '「찾기」를 비우면 이름이 유지됩니다.',
+	'md.description': '설명',
+	'md.descriptionPh': '이 워크플로가 하는 일을 한 줄로…',
+	'md.tags': '태그',
+	'md.tagsPh': '예: 빠름, 고품질',
+	'md.tagsHint': '쉼표로 구분. 일괄 모드에서는 추가됩니다.',
+	'md.category': '분류',
+	'md.modelFamily': '모델 계열',
+	'md.apply': '적용',
+	'md.applied': '{n}건 업데이트',
+	'md.appliedOne': '업데이트됨',
+	'md.partial': '{n}건 성공, {m}건 실패',
+	'wiz.title': '워크플로 일괄 가져오기',
+	'wiz.stepSource': '원본',
+	'wiz.stepReport': '사전 검사',
+	'wiz.stepResult': '결과',
+	'wiz.sourceLabel': '가져오기 원본',
+	'wiz.modeScan': '서버 디렉터리 스캔',
+	'wiz.modeFiles': '로컬 파일 선택',
+	'wiz.rootLabel': '서버 디렉터리',
+	'wiz.rootHint': '서버의 디렉터리 경로(예: 저장소의 example_ComfyUI_workflows). UI 형식 JSON을 재귀적으로 스캔하며 API 형식 등은 건너뜁니다.',
+	'wiz.preflight': '실제 ComfyUI 사전 검사(선택)',
+	'wiz.preflightNone': '건너뛰기(오프라인 변환)',
+	'wiz.preflightHint': '연결을 선택하면 변환 결과를 해당 ComfyUI의 노드·모델과 대조합니다.',
+	'wiz.pickFiles': '로컬 파일',
+	'wiz.pickFilesBtn': 'JSON 파일 선택(여러 개)',
+	'wiz.pickFilesHint': 'ComfyUI UI 형식 워크플로 JSON을 선택하세요. 다중 선택이 가능합니다.',
+	'wiz.parsed': '{n}개 파일 읽음',
+	'wiz.notUi': '{n}개 파일이 UI 형식이 아니어서(nodes 배열 없음) 건너뛰었습니다',
+	'wiz.noFiles': '먼저 가져올 파일을 선택하세요',
+	'wiz.runDry': '사전 검사 실행(저장 안 함)',
+	'wiz.running': '검사 중…',
+	'wiz.total': '총 {n}개 파일',
+	'wiz.ok': '정상 {n}',
+	'wiz.warn': '경고 {n}',
+	'wiz.fail': '실패 {n}',
+	'wiz.confirmCount': '확인 필요 {n}',
+	'wiz.importable': '가져오기 가능 {n}',
+	'wiz.reportHint': '사전 검사는 아무것도 저장하지 않습니다. 경고 항목은 용도를 지정하면 활성화 상태로 가져오며, 확인 필요·실패 항목은 절대 가져오지 않습니다.',
+	'wiz.filterLabel': '보고서 필터',
+	'wiz.filterWarn': '경고만',
+	'wiz.filterBlocked': '가져올 수 없음',
+	'wiz.searchPh': '파일 이름 검색…',
+	'wiz.includeAria': '{name} 가져오기',
+	'wiz.skipReason': '가져올 수 없음: {reason}',
+	'wiz.issues': '변환 메모 {n}건',
+	'wiz.usagePick': '용도:',
+	'wiz.usageNone': '지금은 건너뜀(가져온 뒤 확인 필요)',
+	'wiz.selectedN': '{n}개 파일을 가져옵니다',
+	'wiz.excludedM': '{m}개 가져올 수 없음',
+	'wiz.import': '가져오기',
+	'wiz.importing': '가져오는 중…',
+	'wiz.back': '이전',
+	'wiz.imported': '{n}건 가져옴',
+	'wiz.skipped': '{n}건 건너뜀',
+	'wiz.conflict': '이미 있음(중복 자동 건너뜀)',
+	'wiz.usageApplied': '새로 가져온 {n}건에 용도 지정',
+	'wiz.done': '완료',
+	'wiz.again': '다시 가져오기',
+	'wiz.resultNote': '내용이 같은 파일은 자동으로 건너뛰며, 다시 실행해도 중복이 생기지 않습니다.',
+	'wiz.importedToast': '워크플로 {n}건을 가져왔습니다',
+	'wiz.warnTag': '경고',
+	'wiz.confirmTag': '확인 필요',
+	'wiz.preflightTag': '사전 검사 실패',
+	'wiz.importedTag': '가져옴 #{id}',
 };

calliope-web/src/lib/i18n/zh.ts

@@ -1900,8 +1900,8 @@ export const zh: Dict = {
 	'home.stageProgress': '五段进度',
 	'tasks.sourceWorkbench': '创作流程',
 	'jobst.idSuffix': ' · ComfyUI 任务 ID {id}',
-	'jobst.done': '完成',
-	'jobst.doneDetail': 'ComfyUI 已执行完成，结果已保存',
+	'jobst.done': '定影',
+	'jobst.doneDetail': '生成完成，结果已定影保存',
 	'jobst.dryRun': '占位结果',
 	'jobst.dryRunDetail': '占位结果：当前开启了 Dry-run，没有调用 ComfyUI，不是真实生成',
 	'jobst.noOutput': '无产出',
@@ -2095,4 +2095,136 @@ export const zh: Dict = {
 	'wfd.nodesPickSuggest': '请在下方选择用途并完成输出映射后再保存。',
 	'wfd.showRaw': '查看原始 JSON',
 	'wfd.hideRaw': '收起原始 JSON',
+
+	// --- Workflow library · batch import & management (HEL-682) ---
+	'wl.hint': '批量导入 UI 格式工作流，搜索筛选与标注管理；完整 JSON 只在试运行等操作时按需加载',
+	'wl.batchImport': '批量导入',
+	'wl.dedupe': '去重',
+	'wl.dedupeTitle': '清理重复工作流',
+	'wl.dedupeConfirm': '将删除名称与内容完全相同的重复条目（保留最早导入的一条）。同名但内容不同的是你的变体，不会被动。确定执行？',
+	'wl.dedupeDone': '已删除 {n} 个重复工作流',
+	'wl.dedupeNone': '没有发现重复工作流',
+	'wl.favCount': '{n} 个收藏',
+	'wl.searchPh': '搜索名称、说明、标签、模型…（按 / 聚焦）',
+	'wl.filterLabel': '筛选',
+	'wl.filterAll': '全部',
+	'wl.filterFav': '收藏',
+	'wl.filterPending': '待确认',
+	'wl.filterDisabled': '已停用',
+	'wl.favAria': '收藏',
+	'wl.unfavAria': '取消收藏',
+	'wl.categoryLabel': '分类',
+	'wl.categoryAll': '全部分类',
+	'wl.familyLabel': '模型家族',
+	'wl.familyAll': '全部模型',
+	'wl.mediaLabel': '媒介',
+	'wl.mediaAll': '全部媒介',
+	'wl.mediaImage': '图像',
+	'wl.mediaVideo': '视频',
+	'wl.mediaAudio': '音频',
+	'wl.mediaIn': '输入',
+	'wl.mediaOut': '输出',
+	'wl.sortLabel': '排序',
+	'wl.sortRecent': '收藏 / 最近使用',
+	'wl.sortName': '名称',
+	'wl.resetFilters': '清除筛选',
+	'wl.noMatch': '没有符合条件的工作流',
+	'wl.resultCount': '匹配 {n} / {m}',
+	'wl.selected': '已选 {n} 项',
+	'wl.batchLabel': '批量操作',
+	'wl.batchAnnotate': '批量标注',
+	'wl.batchEnable': '启用',
+	'wl.batchDisable': '停用',
+	'wl.clearSel': '清除选择',
+	'wl.batchDone': '已更新 {n} 项',
+	'wl.batchPartial': '{n} 项成功，{m} 项失败（需先确认用途与输出映射）',
+	'wl.selectAll': '选择当前列出的全部工作流',
+	'wl.rowCheckAria': '选择 {name}',
+	'wl.headMeta': '标注',
+	'wl.headActions': '操作',
+	'wl.enableAria': '启用或停用 {name}',
+	'wl.enableBlocked': '需先确认用途并指定输出节点，才能启用',
+	'wl.editMeta': '编辑标注',
+	'wl.lastUsed': '最近使用',
+	'wl.moreCount': '再显示 {n} 项（共 {m} 项）',
+	'wfCat.basic': '基础处理',
+	'wfCat.audioTts': '语音生成',
+	'wfCat.music': '音乐生成',
+	'wfCat.image': '图像生成',
+	'wfCat.video': '视频生成',
+	'wfCat.digitalHuman': '数字人',
+	'wfCat.motionTransfer': '动作迁移',
+	'md.title': '标注工作流',
+	'md.batchTitle': '批量标注（{n} 项）',
+	'md.batchHint': '只有填写了的字段会被应用；显示名按「查找→替换」批量重命名，标签为追加。',
+	'md.name': '显示名',
+	'md.nameFind': '查找',
+	'md.nameFindPh': '要替换的文字…',
+	'md.nameReplace': '替换为',
+	'md.nameReplacePh': '替换后的文字…',
+	'md.nameHint': '留空「查找」则不改名。',
+	'md.description': '说明',
+	'md.descriptionPh': '一句话说明这个工作流做什么…',
+	'md.tags': '标签',
+	'md.tagsPh': '如：快速, 高质量',
+	'md.tagsHint': '用逗号分隔；批量模式下为追加标签。',
+	'md.category': '分类',
+	'md.modelFamily': '模型家族',
+	'md.apply': '应用',
+	'md.applied': '已更新 {n} 项',
+	'md.appliedOne': '已更新',
+	'md.partial': '{n} 项成功，{m} 项失败',
+	'wiz.title': '批量导入工作流',
+	'wiz.stepSource': '选择来源',
+	'wiz.stepReport': '预检报告',
+	'wiz.stepResult': '导入结果',
+	'wiz.sourceLabel': '导入来源',
+	'wiz.modeScan': '扫描服务器目录',
+	'wiz.modeFiles': '选择本地文件',
+	'wiz.rootLabel': '服务器目录',
+	'wiz.rootHint': '服务器上的目录路径（如仓库的 example_ComfyUI_workflows），将递归扫描其中的 ComfyUI 界面格式 JSON；API 格式与其他 JSON 自动跳过。',
+	'wiz.preflight': '对真实 ComfyUI 预检（可选）',
+	'wiz.preflightNone': '跳过（离线转换）',
+	'wiz.preflightHint': '选择连接后，转换结果会对照该 ComfyUI 的节点与模型做对象级检查。',
+	'wiz.pickFiles': '本地文件',
+	'wiz.pickFilesBtn': '选择 JSON 文件（可多选）',
+	'wiz.pickFilesHint': '选择 ComfyUI 界面格式（UI 格式）的工作流 JSON，可一次选多个。',
+	'wiz.parsed': '已读取 {n} 个文件',
+	'wiz.notUi': '{n} 个文件不是 UI 格式（缺少 nodes 数组），已忽略',
+	'wiz.noFiles': '请先选择要导入的文件',
+	'wiz.runDry': '开始预检（不写入）',
+	'wiz.running': '预检中…',
+	'wiz.total': '共 {n} 个文件',
+	'wiz.ok': '正常 {n}',
+	'wiz.warn': '警告 {n}',
+	'wiz.fail': '失败 {n}',
+	'wiz.confirmCount': '需人工确认 {n}',
+	'wiz.importable': '可导入 {n}',
+	'wiz.reportHint': '预检不写入数据库。warn 项可补充用途后以启用状态导入；「需人工确认」与转换失败项不会被导入，也不会被标为可运行。',
+	'wiz.filterLabel': '报告筛选',
+	'wiz.filterWarn': '仅看警告',
+	'wiz.filterBlocked': '不可导入',
+	'wiz.searchPh': '搜索文件名…',
+	'wiz.includeAria': '导入 {name}',
+	'wiz.skipReason': '不可导入：{reason}',
+	'wiz.issues': '{n} 条转换提示',
+	'wiz.usagePick': '补充用途：',
+	'wiz.usageNone': '暂不补充（导入后待确认）',
+	'wiz.selectedN': '将导入 {n} 个文件',
+	'wiz.excludedM': '{m} 个不可导入',
+	'wiz.import': '确认导入',
+	'wiz.importing': '导入中…',
+	'wiz.back': '上一步',
+	'wiz.imported': '导入成功 {n}',
+	'wiz.skipped': '跳过 {n}',
+	'wiz.conflict': '已存在（重复导入自动跳过）',
+	'wiz.usageApplied': '已为 {n} 个新导入项补充用途',
+	'wiz.done': '完成',
+	'wiz.again': '再导一批',
+	'wiz.resultNote': '内容相同的重复文件会被自动跳过，重复执行不会产生重复条目。',
+	'wiz.importedToast': '已导入 {n} 个工作流',
+	'wiz.warnTag': '警告',
+	'wiz.confirmTag': '需人工确认',
+	'wiz.preflightTag': '预检未通过',
+	'wiz.importedTag': '已导入 #{id}',
 };

calliope-web/src/routes/agents/+page.svelte

@@ -589,6 +589,11 @@
 	function avatarStyle(n: number): string {
 		return `var(--avatar-${Math.min(Math.max(n, 1), 5)})`;
 	}
+
+	// HEL-680 灰阶头像：1–2 亮阶配深字，3–5 暗阶配浅字，按阶数决定。
+	function avatarLight(n: number | undefined): boolean {
+		return Math.min(Math.max(n ?? 1, 1), 5) <= 2;
+	}
 </script>
 
 {#snippet skillRow(skill: SkillAdminEntry, detail: string)}
@@ -655,7 +660,7 @@
 								class:selected
 								onclick={() => selectAgent(agent.key)}
 							>
-								<span class="avatar" class:dark={agent.avatar_dark} style:background={avatarStyle(agent.avatar)}>
+								<span class="avatar" class:dark={avatarLight(agent.avatar)} style:background={avatarStyle(agent.avatar)}>
 									{agent.char}
 								</span>
 								<span class="agent-meta">
@@ -693,7 +698,7 @@
 				<section class="mid">
 					{#if activeAgent}
 						<header class="chat-head">
-							<span class="avatar lg" class:dark={activeAgent.avatar_dark} style:background={avatarStyle(activeAgent.avatar)}>
+							<span class="avatar lg" class:dark={avatarLight(activeAgent.avatar)} style:background={avatarStyle(activeAgent.avatar)}>
 								{activeAgent.char}
 							</span>
 							<div class="chat-head-meta">

calliope-web/src/routes/app.css

@@ -4,62 +4,67 @@
 
 :root {
 	/* ------------------------------------------------------------------
-	 * 融合视觉 design tokens — HEL-649 整站施工规范 §一（流水台结构 ×
-	 * 放映厅配色）。Single source of truth for the whole app: pages and
-	 * components reference these variables only — no hardcoded colors,
-	 * no ad-hoc overrides. Gold is for key actions and the current
-	 * selection only; status colors each carry exactly one meaning.
+	 * 无彩灰阶 design tokens — HEL-680 S1（白栖知 theme-1「暗房放大机」
+	 * × HEL-679 已确认融合样稿）。Single source of truth for the whole
+	 * app: pages and components reference these variables only — no
+	 * hardcoded colors, no ad-hoc overrides. 界面只有暖调黑白灰，作品是
+	 * 屏幕上唯一成片的颜色；状态色仅按主题卡的两处有限例外（琥珀
+	 * #A3915F、红 #B3564A）使用，不放大成全站主色。选中=取景框角线，
+	 * 完成=「定影」，结果=相纸白边。
 	 * ------------------------------------------------------------------ */
 
-	/* 底色：蓝黑四阶，逐层浮起 (§1.1) */
-	--bg: #07090e;
-	--bg-2: #0c0f16;
-	--bg-3: #121724;
-	--bg-4: #1a2133;
-	--line: #1b2233;
-	--line-2: #2a3450;
-	--page-glow: radial-gradient(1200px 500px at 70% -10%, rgba(38, 52, 92, 0.25), transparent 60%);
-	--float-bg: linear-gradient(180deg, #10152a, var(--bg-2));
-	--overlay: rgba(4, 6, 10, 0.6);
-	--media-scrim: rgba(7, 9, 14, 0.65);
+	/* 底色：显影灰阶四阶，逐层浮起（theme-1：#212120 底 / #2C2C2A 面板） */
+	--bg: #212120;
+	--bg-2: #262625;
+	--bg-3: #2c2c2a;
+	--bg-4: #383835;
+	--line: #313130;
+	--line-2: #454542;
+	--page-glow: radial-gradient(1200px 500px at 70% -10%, rgba(245, 244, 238, 0.035), transparent 60%);
+	--float-bg: linear-gradient(180deg, #2e2e2c, var(--bg-2));
+	--overlay: rgba(18, 18, 17, 0.62);
+	--media-scrim: rgba(18, 18, 17, 0.66);
 	--on-media: #fff;
 	--on-media-line: rgba(255, 255, 255, 0.05);
-	--composer-bg: linear-gradient(180deg, #0e1220, var(--bg-2));
-	--composer-focus: 0 0 0 1px rgba(242, 199, 132, 0.12), 0 8px 28px rgba(0, 0, 0, 0.4);
+	--composer-bg: linear-gradient(180deg, #2a2a28, var(--bg-2));
+	--composer-focus: 0 0 0 1px rgba(245, 244, 238, 0.12), 0 8px 28px rgba(0, 0, 0, 0.4);
 
-	/* 放映金：主按钮、当前选中、改过的参数、聚焦框、Toast 动作 (§1.2) */
-	--accent: #f2c784;
-	--accent-ink: #23170a;
-	--accent-soft: rgba(242, 199, 132, 0.13);
-	--accent-hi: #f7d9a2;
-	--accent-lo: #ecaf63;
-	--accent-glow: rgba(236, 175, 99, 0.28);
-	--accent-line: rgba(242, 199, 132, 0.55);
+	/* 相纸白（重点色）：主按钮、当前选中、改过的参数、聚焦框、Toast 动作
+	   (theme-1 #F5F4EE 重点) */
+	--accent: #f5f4ee;
+	--accent-ink: #212120;
+	--accent-soft: rgba(245, 244, 238, 0.08);
+	--accent-hi: #ffffff;
+	--accent-lo: #ddddd7;
+	--accent-glow: rgba(240, 239, 233, 0.2);
+	--accent-line: rgba(245, 244, 238, 0.55);
 	--accent-grad: linear-gradient(180deg, var(--accent-hi), var(--accent-lo));
-	--accent-grad-hover: linear-gradient(180deg, #fbe3b6, #f0b968);
-	--accent-ring: 0 0 0 1px rgba(242, 199, 132, 0.7), 0 0 22px var(--accent-glow);
-	--btn-glow: 0 2px 14px var(--accent-glow), inset 0 1px 0 rgba(255, 255, 255, 0.35);
-	--btn-glow-hover: 0 4px 18px var(--accent-glow), inset 0 1px 0 rgba(255, 255, 255, 0.4);
-	--accent-wash: linear-gradient(180deg, rgba(242, 199, 132, 0.05), transparent 40%);
-	--sel-shadow: 0 0 0 1px rgba(242, 199, 132, 0.15), 0 6px 24px rgba(0, 0, 0, 0.35);
+	--accent-grad-hover: linear-gradient(180deg, #ffffff, #e8e7df);
+	--accent-ring: 0 0 0 1px rgba(245, 244, 238, 0.7), 0 0 22px var(--accent-glow);
+	--btn-glow: 0 2px 10px rgba(0, 0, 0, 0.38), inset 0 1px 0 rgba(255, 255, 255, 0.55);
+	--btn-glow-hover: 0 3px 14px rgba(0, 0, 0, 0.44), inset 0 1px 0 rgba(255, 255, 255, 0.65);
+	--accent-wash: linear-gradient(180deg, rgba(245, 244, 238, 0.05), transparent 40%);
+	--sel-shadow: 0 0 0 1px rgba(245, 244, 238, 0.14), 0 6px 24px rgba(0, 0, 0, 0.35);
 
-	/* 信号色：绿=完成/已确认/通过，青=进行中/在线，红=失败/危险，
-	   琥珀=待确认/文件缺失/限额 (§1.3) */
-	--ok: #49cb90;
-	--ok-soft: rgba(73, 203, 144, 0.13);
-	--run: #54dfd2;
-	--run-soft: rgba(84, 223, 210, 0.13);
-	--run-grad: linear-gradient(90deg, #3bbfb4, var(--run));
-	--err: #f0645a;
-	--err-soft: rgba(240, 100, 90, 0.13);
-	--err-line: rgba(240, 100, 90, 0.6);
-	--warn: #f0b45c;
-	--warn-soft: rgba(240, 180, 92, 0.13);
+	/* 信号色：完成=显影亮灰（「定影」，配图标/文字双编码），进行中=灰阶
+	   +动效；红/琥珀只按 theme-1 卡片的有限例外使用（红=失败/危险
+	   #B3564A 系，琥珀=待确认/文件缺失 #A3915F） */
+	--ok: #ddddd7;
+	--ok-soft: rgba(221, 221, 215, 0.1);
+	--run: #b8b6ac;
+	--run-soft: rgba(184, 182, 172, 0.12);
+	--run-grad: linear-gradient(90deg, #8f8e85, #c6c5c0);
+	--err: #d07a6b;
+	--err-solid: #b3564a;
+	--err-soft: rgba(181, 86, 74, 0.15);
+	--err-line: rgba(208, 122, 107, 0.55);
+	--warn: #a3915f;
+	--warn-soft: rgba(163, 145, 95, 0.13);
 
-	/* 文字与字体 (§1.4)；--text-2 是深底可读性下限，不得再暗 */
-	--text: #f4f6fa;
-	--text-2: #aab2c5;
-	--text-3: #6d7690;
+	/* 文字与字体；--text-3 是深底可读性下限（≥4.5:1 on --bg-3），不得再暗 */
+	--text: #f0efe9;
+	--text-2: #a8a69c;
+	--text-3: #94938c;
 	--font: 'PingFang SC', 'Noto Sans SC', 'Microsoft YaHei', system-ui, sans-serif;
 	--mono: 'JetBrains Mono', ui-monospace, monospace;
 	--fs-title: 15px;
@@ -95,8 +100,14 @@
 	/* 专属符号 (§1.7)：齿孔只在记录流/输入台分隔带，光晕只在播放舞台 */
 	--sprocket: radial-gradient(circle 2px, var(--line-2) 98%, transparent);
 	--stage-bg:
-		radial-gradient(60% 45% at 50% 38%, rgba(242, 199, 132, 0.07), transparent 70%),
-		radial-gradient(80% 70% at 50% 50%, #0d1220, #05070c);
+		radial-gradient(60% 45% at 50% 38%, rgba(245, 244, 238, 0.045), transparent 70%),
+		radial-gradient(80% 70% at 50% 50%, #232322, #171716);
+
+	/* 取景框角线与相纸白边 (HEL-680)：内容级选中/结果呈现的统一语言 */
+	--frame-w: 2px;
+	--frame-arm: 12px;
+	--frame-inset: -4px;
+	--paper-w: 4px;
 
 	/* 动效 (§1.6，取 HEL-648 实测值)；只动 transform / opacity */
 	--ease-out: cubic-bezier(0.23, 1, 0.32, 1);
@@ -113,13 +124,13 @@
 	--d-progress: 400ms;
 	--press-scale: 0.97;
 
-	/* Avatar five-color set — five agents only; the one colorful gradient
-	   family the spec keeps (§3.6). */
-	--avatar-1: linear-gradient(135deg, #e8a33d, #b96a1b);
-	--avatar-2: linear-gradient(135deg, #5b8def, #3a5fa9);
-	--avatar-3: linear-gradient(135deg, #3fb97f, #2a7a54);
-	--avatar-4: linear-gradient(135deg, #b98be0, #7a4fa9);
-	--avatar-5: linear-gradient(135deg, #d98e6a, #a95535);
+	/* Avatar five-step grayscale (HEL-680 无彩化)：1–2 亮阶配深字，
+	   3–5 暗阶配浅字；仍是五个身份位，只是从彩色渐变改为显影灰阶。 */
+	--avatar-1: linear-gradient(135deg, #e8e7df, #cdcbc4);
+	--avatar-2: linear-gradient(135deg, #b5b3aa, #9c9a91);
+	--avatar-3: linear-gradient(135deg, #6b6a66, #55544f);
+	--avatar-4: linear-gradient(135deg, #55544f, #424140);
+	--avatar-5: linear-gradient(135deg, #424140, #2e2e2c);
 
 	/* ------------------------------------------------------------------
 	 * Legacy token names (§六 映射表) — aliases only, never new values,
@@ -297,7 +308,7 @@ code,
 	color: var(--err);
 }
 .a-btn.danger-solid {
-	background: var(--err);
+	background: var(--err-solid);
 	color: var(--on-media);
 }
 @media (hover: hover) and (pointer: fine) {
@@ -550,11 +561,47 @@ button.status-chip:active {
 .a-chip.changed {
 	color: var(--accent);
 }
-/* Selected filter chip (§3.5 筛选芯片组): 当前选中 = 金色文字 + accent-soft 底 */
+/* Selected filter chip (§3.5 筛选芯片组): 当前选中 = 取景框角线缩影 +
+   相纸白文字 + accent-soft 底 (HEL-680) */
 .a-chip.sel {
+	position: relative;
 	background: var(--accent-soft);
 	color: var(--accent);
 }
+.a-chip.sel::after {
+	content: '';
+	position: absolute;
+	inset: 2px;
+	pointer-events: none;
+	background-image:
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0);
+	background-position:
+		left top,
+		left top,
+		right top,
+		right top,
+		left bottom,
+		left bottom,
+		right bottom,
+		right bottom;
+	background-size:
+		6px 1.5px,
+		1.5px 6px,
+		6px 1.5px,
+		1.5px 6px,
+		6px 1.5px,
+		1.5px 6px,
+		6px 1.5px,
+		1.5px 6px;
+	background-repeat: no-repeat;
+}
 .a-chip.warn {
 	color: var(--warn);
 }
@@ -753,6 +800,81 @@ button.a-tile:disabled {
 	box-shadow: 0 0 0 1px var(--line);
 }
 
+/* ------------------------------------------------------------------
+ * 取景框角线选中 (HEL-680)：内容级选中态的唯一语言——四角短线取景，
+ * 不整框描边。挂在需要角线的元素上（元素自身可 overflow 可见；被
+ * overflow:hidden 裁切的容器改用 --frame-inset 正值画在内侧）。
+ * ------------------------------------------------------------------ */
+.a-frame {
+	position: relative;
+}
+.a-frame::after {
+	content: '';
+	position: absolute;
+	inset: var(--frame-inset, -4px);
+	z-index: 3;
+	pointer-events: none;
+	background-image:
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0),
+		linear-gradient(var(--accent) 0 0);
+	background-position:
+		left top,
+		left top,
+		right top,
+		right top,
+		left bottom,
+		left bottom,
+		right bottom,
+		right bottom;
+	background-size:
+		var(--frame-arm, 12px) var(--frame-w, 2px),
+		var(--frame-w, 2px) var(--frame-arm, 12px),
+		var(--frame-arm, 12px) var(--frame-w, 2px),
+		var(--frame-w, 2px) var(--frame-arm, 12px),
+		var(--frame-arm, 12px) var(--frame-w, 2px),
+		var(--frame-w, 2px) var(--frame-arm, 12px),
+		var(--frame-arm, 12px) var(--frame-w, 2px),
+		var(--frame-w, 2px) var(--frame-arm, 12px);
+	background-repeat: no-repeat;
+}
+
+/* 相纸白边 (HEL-680)：结果媒体外的相纸白框，底边略厚如手工相纸。
+   挂在承载 img/video 的媒体容器上；容器尺寸由调用方决定。 */
+.a-photo {
+	background: var(--accent);
+	border: var(--paper-w, 4px) solid var(--accent);
+	border-bottom-width: calc(var(--paper-w, 4px) + 2px);
+	border-radius: 2px;
+	box-shadow: 0 2px 12px rgba(0, 0, 0, 0.35);
+	box-sizing: border-box;
+}
+
+/* 「定影」完成章 (HEL-680)：已定影结果右上角的完成印记，随 jobst.done
+   文案走（中文=定影）。absolute 定位，挂在有媒体的结果容器内。 */
+.a-fix {
+	position: absolute;
+	top: var(--sp-3);
+	right: var(--sp-3);
+	z-index: 2;
+	padding: 1px 6px;
+	border: 1px solid currentColor;
+	border-radius: 3px;
+	background: var(--media-scrim);
+	color: var(--ok);
+	font-size: var(--fs-mini);
+	font-weight: 700;
+	letter-spacing: 0.1em;
+	text-indent: 0.1em;
+	transform: rotate(-4deg);
+	pointer-events: none;
+}
+
 /* Floating surface for pop / drawer / confirm / toast / lightbox (§四.3). */
 .a-float {
 	background: var(--float-bg);

calliope-web/src/routes/connections/+page.svelte

@@ -7,10 +7,8 @@
 	import ConfirmDialog from '$lib/components/ui/ConfirmDialog.svelte';
 	import Icon from '$lib/components/ui/Icon.svelte';
 	import EmptyState from '$lib/components/ui/EmptyState.svelte';
-	import WorkflowImportDrawer from '$lib/components/WorkflowImportDrawer.svelte';
-	import WorkflowTestDialog from '$lib/components/WorkflowTestDialog.svelte';
-	import { apiErrorMessage, comfy, settings, workflows, type ComfyEndpoint, type Workflow, type WorkflowOutputMapEntry, type WorkflowUsage, type WorkflowConnectionCheck } from '$lib/api';
-	import { WORKFLOW_USAGES } from '$lib/comfy/types';
+	import WorkflowLibrary from '$lib/components/workflows/WorkflowLibrary.svelte';
+	import { apiErrorMessage, comfy, settings, workflows, type ComfyEndpoint, type WorkflowMeta } from '$lib/api';
 	import { toast } from '$lib/toast';
 	import { t } from '$lib/i18n.svelte';
 	import { classifyEndpoint, endpointTypeLabel, type EndpointKind } from '$lib/endpointKind';
@@ -25,12 +23,17 @@
 		queryKey: ['settings'],
 		queryFn: settings.get,
 	});
-	const workflowsQuery = createQuery({
-		queryKey: ['workflows'],
-		queryFn: workflows.list,
+	// HEL-682: the library browses metadata only (view=meta) — the heavy
+	// workflow_json payloads are fetched per-row inside WorkflowLibrary
+	// exactly when an action needs them.
+	const wfMetaQuery = createQuery({
+		queryKey: ['workflows', 'meta'],
+		queryFn: workflows.listMeta,
 	});
 
-	const endpoints = $derived($settingsQuery.data?.comfyui_endpoints ?? []);
+	const endpoints = $derived(
+		$settingsQuery.data?.comfyui_endpoints ?? [],
+	);
 	const activeId = $derived(
 		$settingsQuery.data?.comfyui_active_id ?? endpoints[0]?.id ?? '',
 	);
@@ -281,7 +284,7 @@
 	}
 
 	function workflowsBound(id: string): number {
-		return ($workflowsQuery.data ?? []).filter((wf) => wf.endpoint_id === id).length;
+		return ($wfMetaQuery.data ?? []).filter((wf) => wf.endpoint_id === id).length;
 	}
 
 	const deleteMessage = $derived.by(() => {
@@ -327,188 +330,6 @@
 		},
 	});
 
-	// ------------------------------------------------------------------
-	// Workflow library (binding + per-row recheck / test). The import
-	// wizard itself lives in WorkflowImportDrawer (HEL-655 E 批).
-	// ------------------------------------------------------------------
-	let wfImportOpen = $state(false);
-
-	function startWfImport() {
-		wfImportOpen = true;
-	}
-
-	function usageLabel(u: WorkflowUsage | null | undefined): string {
-		return u ? t(`usage.${u}`) : t('usage.pending');
-	}
-
-	function wfProblems(wf: Workflow): string[] {
-		return (wf.warnings ?? []).filter((w) => w.level === 'error').map((w) => w.message);
-	}
-
-	// HEL-643 L2: per-row 重新检查 / 测试 in the workflow library.
-	let wfRecheckId = $state<number | null>(null);
-	const wfRecheckResult = $state<Record<number, WorkflowConnectionCheck>>({});
-
-	async function recheckRow(wf: Workflow) {
-		wfRecheckId = wf.id;
-		try {
-			const res = await workflows.check(wf.id, { refresh: true });
-			wfRecheckResult[wf.id] = res;
-		} catch (err) {
-			toast.error(apiErrorMessage(err));
-		} finally {
-			wfRecheckId = null;
-		}
-	}
-
-	function recheckLine(wf: Workflow): { tone: 'ok' | 'bad' | 'warn'; text: string } | null {
-		const check = wfRecheckResult[wf.id];
-		if (!check) return null;
-		if (!check.reachable) return { tone: 'warn', text: t('conn.wfCheckUnreachable') };
-		if (check.ok) return { tone: 'ok', text: t('conn.wfCheckOk') };
-		const n = check.findings.length;
-		return { tone: 'bad', text: t('conn.wfCheckProblems', { n }) };
-	}
-
-	let testWf = $state<Workflow | null>(null);
-	let testOpen = $state(false);
-
-	function openTest(wf: Workflow) {
-		testWf = wf;
-		testOpen = true;
-	}
-
-	function lastTestLine(wf: Workflow): string | null {
-		const lt = wf.last_test;
-		if (!lt) return null;
-		if (lt.status === 'done' && lt.output_count > 0) {
-			return t('conn.wfTestPassed', { n: lt.output_count, time: formatDbTime(lt.completed_at ?? lt.created_at) });
-		}
-		if (lt.status === 'pending' || lt.status === 'running') {
-			return t('conn.wfTestRunning', { time: formatDbTime(lt.created_at) });
-		}
-		return t('conn.wfTestFailed', { time: formatDbTime(lt.completed_at ?? lt.created_at) });
-	}
-
-	function formatDbTime(at: string | null): string {
-		if (!at) return '—';
-		const ts = Date.parse(at.replace(' ', 'T') + 'Z');
-		const d = new Date(Number.isFinite(ts) ? ts : at);
-		if (Number.isNaN(d.getTime())) return '—';
-		const p = (n: number) => String(n).padStart(2, '0');
-		return `${p(d.getMonth() + 1)}-${p(d.getDate())} ${p(d.getHours())}:${p(d.getMinutes())}`;
-	}
-
-	const wfConfirmMutation = createMutation({
-		mutationFn: ({ id, usage }: { id: number; usage: WorkflowUsage }) =>
-			workflows.update(id, { usage, usage_source: 'user' }),
-		onSuccess: (wf) => {
-			client.invalidateQueries({ queryKey: ['workflows'] });
-			toast.success(t('conn.wfConfirmed', { usage: usageLabel(wf.usage) }));
-		},
-		onError: (err) => {
-			toast.error(
-				t('conn.wfImportFailed', {
-					detail: err instanceof Error ? err.message : String(err),
-				}),
-			);
-		},
-	});
-
-	// ------------------------------------------------------------------
-	// HEL-638: per-row output-node designation for pending workflows with
-	// unknown custom output nodes (imported earlier or parked by migration).
-	// ------------------------------------------------------------------
-	let wfMapEditId = $state<number | null>(null);
-	let wfMapPicked = $state<Record<string, boolean>>({});
-	let wfMapKind = $state<Record<string, 'image' | 'video'>>({});
-
-	function rowOutputCandidates(wf: Workflow) {
-		return (wf.output_schema ?? []).filter((o) => o.evidence === 'unknown_node');
-	}
-
-	function rowNeedsOutputMap(wf: Workflow): boolean {
-		return Boolean(wf.needs_mapping) && !(wf.output_map ?? []).length;
-	}
-
-	function toggleWfMapEdit(wf: Workflow) {
-		if (wfMapEditId === wf.id) {
-			wfMapEditId = null;
-			return;
-		}
-		const picked: Record<string, boolean> = {};
-		const kinds: Record<string, 'image' | 'video'> = {};
-		const mapped = new Map((wf.output_map ?? []).map((e) => [e.nodeId, e.kind]));
-		for (const c of rowOutputCandidates(wf)) {
-			const known = mapped.get(c.nodeId);
-			if (known) picked[c.nodeId] = true;
-			kinds[c.nodeId] = known ?? c.suggested_kind ?? 'image';
-		}
-		wfMapPicked = picked;
-		wfMapKind = kinds;
-		wfMapEditId = wf.id;
-	}
-
-	const wfMapMutation = createMutation({
-		mutationFn: ({ id, outputMap }: { id: number; outputMap: WorkflowOutputMapEntry[] }) =>
-			workflows.update(
-				id,
-				outputMap.length
-					? { output_map: outputMap, output_map_source: 'user' }
-					: { output_map: [] },
-			),
-		onSuccess: (wf) => {
-			client.invalidateQueries({ queryKey: ['workflows'] });
-			wfMapEditId = null;
-			const nodes = (wf.output_map ?? []).map((e) => e.nodeId).join('、');
-			toast.success(
-				wf.output_map?.length
-					? t('conn.wfOutputApplied', { nodes })
-					: t('conn.wfOutputCleared'),
-			);
-		},
-		onError: (err) => {
-			toast.error(
-				t('conn.wfImportFailed', {
-					detail: err instanceof Error ? err.message : String(err),
-				}),
-			);
-		},
-	});
-
-	function submitWfMap(wf: Workflow) {
-		if ($wfMapMutation.isPending) return;
-		const outputMap = rowOutputCandidates(wf)
-			.filter((c) => wfMapPicked[c.nodeId])
-			.map((c) => ({
-				nodeId: c.nodeId,
-				kind: wfMapKind[c.nodeId] ?? c.suggested_kind ?? 'image',
-				label: c.label,
-				...(c.class_type ? { class_type: c.class_type } : {}),
-			}));
-		$wfMapMutation.mutate({ id: wf.id, outputMap });
-	}
-
-	const wfBindMutation = createMutation({
-		mutationFn: ({ id, endpointId }: { id: number; endpointId: string | null }) =>
-			workflows.update(id, { endpoint_id: endpointId }),
-		onSuccess: () => {
-			client.invalidateQueries({ queryKey: ['workflows'] });
-		},
-	});
-
-	const wfDeleteMutation = createMutation({
-		mutationFn: (id: number) => workflows.delete(id),
-		onSuccess: () => {
-			client.invalidateQueries({ queryKey: ['workflows'] });
-			toast.success(t('conn.wfDeleted'));
-		},
-		onError: (err) => {
-			// e.g. 409 "该工作流还有 N 个排队或执行中的任务…" (HEL-619)
-			toast.error(apiErrorMessage(err));
-		},
-	});
-
 	// ------------------------------------------------------------------
 	// Helpers
 	// ------------------------------------------------------------------
@@ -529,7 +350,9 @@
 	// 任务使用目标 (a6): where each kind of job actually runs — a workflow's
 	// own binding first, otherwise the default connection.
 	function kindTarget(kind: 'image' | 'video' | null): { value: string; kind: EndpointKind | null } {
-		const wfs = ($workflowsQuery.data ?? []).filter((w) => kind === null || w.kind === kind);
+		const wfs: WorkflowMeta[] = ($wfMetaQuery.data ?? []).filter(
+			(w) => kind === null || w.kind === kind,
+		);
 		const ids = new Set(wfs.map((w) => w.endpoint_id || activeId).filter(Boolean));
 		if (wfs.length === 0) ids.add(activeId);
 		if (ids.size === 1) {
@@ -710,208 +533,7 @@
 						</p>
 					</div>
 
-				<!-- ---------------- workflow library ---------------- -->
-				<section class="wf-panel" id="wf-library">
-					<div class="panel-head">
-						<h2>{t('conn.wfTitle')}</h2>
-						<span class="panel-hint">{t('conn.wfHint')}</span>
-						<span class="panel-actions">
-							<Button variant="secondary" size="sm" onclick={startWfImport}>
-								<Icon name="upload" size={13} />
-								{t('conn.wfImportAction')}
-							</Button>
-						</span>
-					</div>
-
-					{#if ($workflowsQuery.data ?? []).length === 0}
-						<EmptyState title={t('conn.wfEmpty')} />
-						<p class="missing-note">{t('conn.missingMaterial')}</p>
-					{:else}
-						{@const wfs = $workflowsQuery.data ?? []}
-						{@const pending = wfs.filter((w) => !w.usage).length}
-						<p class="wf-count">
-							{t('conn.wfCount', {
-								n: wfs.length,
-								m: wfs.filter((w) => w.kind === 'image').length,
-								k: wfs.filter((w) => w.kind === 'video').length,
-							})}
-							{#if pending}
-								<span class="wf-pending-note">· {t('conn.wfPendingCount', { n: pending })}</span>
-							{/if}
-						</p>
-					<div class="wf-table">
-						{#each wfs as wf (wf.id)}
-							<div class="wf-row" class:pending={!wf.usage}>
-								<span class="wf-kind {wf.kind}">
-									<Icon name={wf.kind === 'image' ? 'image' : 'film'} size={14} />
-								</span>
-								<span class="wf-name" title={wf.description ?? wf.name}>{wf.name}</span>
-								{#if wf.usage}
-									<span
-										class="tag tag-usage"
-										title={wf.usage_source === 'user' ? t('conn.wfSourceUser') : t('conn.wfSourceAuto')}
-									>
-										{usageLabel(wf.usage)}
-									</span>
-								{:else}
-									<select
-										class="a-select wf-confirm-select"
-										aria-label={t('conn.wfConfirmAria')}
-										disabled={$wfConfirmMutation.isPending}
-										onchange={(e) => {
-											const usage = e.currentTarget.value as WorkflowUsage;
-											if (usage) $wfConfirmMutation.mutate({ id: wf.id, usage });
-											e.currentTarget.value = '';
-										}}
-									>
-										<option value="">{t('usage.pending')}…</option>
-										{#each WORKFLOW_USAGES as u (u)}
-											<option value={u}>{usageLabel(u)}</option>
-										{/each}
-									</select>
-								{/if}
-								{#if rowNeedsOutputMap(wf)}
-									<button
-										type="button"
-										class="tag tag-mapbtn"
-										class:open={wfMapEditId === wf.id}
-										title={t('conn.wfOutputNeedMap')}
-										onclick={() => toggleWfMapEdit(wf)}
-									>
-										<Icon name="alert" size={12} />
-										{t('conn.wfOutputPendingBadge')}
-									</button>
-								{/if}
-								{#if !wf.is_enabled && wf.usage && !rowNeedsOutputMap(wf)}
-									<span class="tag tag-disabled">{t('conn.wfDisabledBadge')}</span>
-								{/if}
-								{#if wfProblems(wf).length}
-									<span class="tag tag-error" title={wfProblems(wf).join('\n')}>
-										{t('conn.wfBrokenBadge')}
-									</span>
-								{/if}
-							<span class="wf-params">{t('conn.wfParams', { n: wf.input_schema?.length ?? 0 })}</span>
-							<button
-								type="button"
-								class="link-accent wf-test-btn"
-								title={t('wft.title')}
-								onclick={() => openTest(wf)}
-							>
-								<Icon name="play" size={13} />
-								{t('conn.wfTestBtn')}
-							</button>
-							<button
-								type="button"
-								class="link-accent wf-test-btn"
-								disabled={wfRecheckId === wf.id}
-								title={t('conn.wfCheckBtn')}
-								onclick={() => recheckRow(wf)}
-							>
-								<Icon name="retry" size={13} />
-								{wfRecheckId === wf.id ? t('conn.wfChecking') : t('conn.wfCheckBtn')}
-							</button>
-							<select
-								class="a-select"
-								value={wf.endpoint_id ?? ''}
-								onchange={(e) =>
-									$wfBindMutation.mutate({
-										id: wf.id,
-										endpointId: e.currentTarget.value || null,
-									})}
-							>
-								<option value="">{t('conn.wfConnectionActive')}</option>
-								{#each endpoints as ep (ep.id)}
-									<option value={ep.id}>{ep.name}</option>
-								{/each}
-							</select>
-							<button
-								type="button"
-								class="link-danger"
-								title={t('conn.delete')}
-								onclick={() => $wfDeleteMutation.mutate(wf.id)}
-							>
-								<Icon name="trash" size={14} />
-							</button>
-						</div>
-						{@const lastLine = lastTestLine(wf)}
-						{@const recheck = recheckLine(wf)}
-						{#if lastLine || recheck}
-							<div class="wf-meta-row">
-								{#if lastLine}<span class="wf-meta-item">{t('conn.wfLastTest')}：{lastLine}</span>{/if}
-								{#if recheck}
-									<span class="wf-meta-item recheck" class:ok={recheck.tone === 'ok'} class:bad={recheck.tone === 'bad'} class:warn={recheck.tone === 'warn'}>
-										{#if recheck.tone === 'bad'}
-											{@const check = wfRecheckResult[wf.id]}
-											<span class="wf-recheck-text" title={(check?.findings ?? []).map((f) => f.message).join('\n')}>
-												{recheck.text}
-											</span>
-										{:else}
-											<span class="wf-recheck-text">{recheck.text}</span>
-										{/if}
-									</span>
-								{/if}
-							</div>
-						{/if}
-							{#if wfMapEditId === wf.id}
-								<div class="wf-map-editor">
-									<p class="wf-map-hint">{t('conn.wfOutputHint')}</p>
-									<div class="wf-slot-rows">
-										{#each rowOutputCandidates(wf) as c (c.nodeId)}
-											<div class="wf-slot-row" class:off={!wfMapPicked[c.nodeId]}>
-												<label class="wf-out-check">
-													<input
-														type="checkbox"
-														checked={wfMapPicked[c.nodeId] ?? false}
-														onchange={(e) =>
-															(wfMapPicked = {
-																...wfMapPicked,
-																[c.nodeId]: e.currentTarget.checked,
-															})}
-													/>
-													<span class="wf-slot-id mono">{c.nodeId}</span>
-													<span class="wf-slot-name" title={c.class_type}>{c.label}</span>
-												</label>
-												<select
-													class="a-select"
-													aria-label={t('conn.wfOutputKindAria')}
-													disabled={!wfMapPicked[c.nodeId]}
-													value={wfMapKind[c.nodeId] ?? c.suggested_kind ?? 'image'}
-													onchange={(e) =>
-														(wfMapKind = {
-															...wfMapKind,
-															[c.nodeId]: e.currentTarget.value as 'image' | 'video',
-														})}
-												>
-													<option value="image">{t('conn.wfKindImage')}</option>
-													<option value="video">{t('conn.wfKindVideo')}</option>
-												</select>
-											</div>
-										{/each}
-									</div>
-									<div class="form-actions">
-										<Button
-											variant="secondary"
-											size="sm"
-											onclick={() => (wfMapEditId = null)}
-										>
-											{t('conn.wfMapCancel')}
-										</Button>
-										<Button
-											variant="primary"
-											size="sm"
-											disabled={!Object.values(wfMapPicked).some(Boolean)}
-											loading={$wfMapMutation.isPending}
-											onclick={() => submitWfMap(wf)}
-										>
-											{t('conn.wfOutputApply')}
-										</Button>
-									</div>
-								</div>
-							{/if}
-						{/each}
-					</div>
-					{/if}
-					</section>
+				<WorkflowLibrary rows={$wfMetaQuery.data ?? []} {endpoints} />
 				</section>
 
 				{#if formMode !== 'idle'}
@@ -1104,17 +726,6 @@
 			</div>
 		{/if}
 	</div>
-<WorkflowImportDrawer
-		bind:open={wfImportOpen}
-		{endpoints}
-		onchanged={() => client.invalidateQueries({ queryKey: ['workflows'] })}
-	/>
-<WorkflowTestDialog
-		bind:open={testOpen}
-		workflow={testWf}
-		{endpoints}
-		onchanged={() => client.invalidateQueries({ queryKey: ['workflows'] })}
-	/>
 </AppShell>
 
 <ConfirmDialog
@@ -1376,231 +987,6 @@
 		color: var(--text);
 	}
 
-	/* ---------------- workflow panel ---------------- */
-	.wf-panel {
-		background: var(--surface);
-		border: 1px solid var(--border);
-		border-radius: 10px;
-		padding: 18px 20px;
-	}
-	.panel-head {
-		display: flex;
-		align-items: baseline;
-		justify-content: space-between;
-		gap: 12px;
-		margin-bottom: 14px;
-		flex-wrap: wrap;
-	}
-	.panel-head h2 {
-		margin: 0;
-		font-size: 14.5px;
-		font-weight: 600;
-		color: var(--text);
-	}
-	.panel-hint {
-		font-size: 11.5px;
-		color: var(--text-3);
-	}
-	.panel-actions {
-		display: inline-flex;
-		gap: 8px;
-	}
-	.wf-count {
-		margin: 0 0 10px;
-		font-size: 11.5px;
-		color: var(--text-3);
-	}
-	.missing-note {
-		margin: 10px 0 0;
-		font-size: 11.5px;
-		color: var(--text-3);
-		border-left: 2px solid var(--accent);
-		padding-left: 10px;
-		line-height: 1.6;
-	}
-	.wf-test-btn {
-		display: inline-flex;
-		align-items: center;
-		gap: 4px;
-		white-space: nowrap;
-	}
-	.wf-test-btn:disabled {
-		opacity: 0.6;
-		cursor: default;
-	}
-	.wf-meta-row {
-		display: flex;
-		gap: 14px;
-		flex-wrap: wrap;
-		padding: 0 10px 8px;
-		margin-top: -2px;
-	}
-	.wf-meta-item {
-		font-size: 10.5px;
-		color: var(--text-3);
-	}
-	.wf-meta-item.recheck .wf-recheck-text {
-		color: var(--text-3);
-	}
-	.wf-meta-item.recheck.ok .wf-recheck-text {
-		color: var(--success);
-	}
-	.wf-meta-item.recheck.bad .wf-recheck-text {
-		color: var(--error);
-		cursor: help;
-	}
-	.wf-meta-item.recheck.warn .wf-recheck-text {
-		color: var(--warn);
-	}
-	.wf-slot-rows {
-		display: flex;
-		flex-direction: column;
-		gap: 5px;
-	}
-	.wf-slot-row {
-		display: flex;
-		align-items: center;
-		gap: 10px;
-		padding: 5px 8px;
-		border-radius: 7px;
-		background: var(--surface);
-		border: 1px solid var(--border);
-	}
-	.wf-slot-id {
-		font-size: 10.5px;
-		color: var(--text-3);
-		min-width: 64px;
-	}
-	.wf-slot-name {
-		flex: 1;
-		min-width: 0;
-		font-size: 12px;
-		color: var(--text);
-		overflow: hidden;
-		text-overflow: ellipsis;
-		white-space: nowrap;
-	}
-	.wf-slot-row .a-select {
-		width: 130px;
-	}
-	.wf-slot-row.off {
-		opacity: 0.55;
-	}
-	.wf-out-check {
-		display: flex;
-		align-items: center;
-		gap: 8px;
-		flex: 1;
-		min-width: 0;
-		cursor: pointer;
-	}
-	.wf-out-check input[type='checkbox'] {
-		accent-color: var(--accent);
-	}
-	.tag-mapbtn {
-		display: inline-flex;
-		align-items: center;
-		gap: 4px;
-		cursor: pointer;
-		color: var(--error);
-		background: var(--error-dim);
-		border: 1px solid transparent;
-	}
-	.tag-mapbtn.open {
-		color: var(--accent);
-		background: var(--accent-dim);
-		border-color: var(--accent);
-	}
-	.wf-map-editor {
-		display: flex;
-		flex-direction: column;
-		gap: 8px;
-		padding: 10px 12px;
-		margin: 2px 0 6px;
-		border-radius: 7px;
-		border: 1px dashed var(--border);
-		background: var(--surface);
-	}
-	.wf-map-hint {
-		margin: 0;
-		font-size: 11.5px;
-		color: var(--text-3);
-	}
-	.wf-map-editor .form-actions {
-		justify-content: flex-end;
-	}
-	.wf-params {
-		margin: 0 0 10px;
-		font-size: 11.5px;
-		color: var(--text-3);
-	}
-	.tag-usage {
-		color: var(--text-2);
-		background: var(--bg-4);
-	}
-	.tag-disabled {
-		color: var(--text-3);
-		background: var(--surface-3);
-	}
-	.wf-pending-note {
-		color: var(--warn);
-	}
-	.wf-row.pending .wf-name {
-		color: var(--text-3);
-	}
-	.wf-confirm-select {
-		max-width: 150px;
-		font-size: 11px;
-	}
-
-	.wf-table {
-		display: flex;
-		flex-direction: column;
-		gap: 4px;
-	}
-	.wf-row {
-		display: flex;
-		align-items: center;
-		gap: 10px;
-		padding: 8px 10px;
-		border-radius: 8px;
-		transition: background-color 150ms;
-	}
-	.wf-row:hover {
-		background: var(--surface-2);
-	}
-	.wf-kind {
-		width: 28px;
-		height: 28px;
-		border-radius: 7px;
-		display: inline-flex;
-		align-items: center;
-		justify-content: center;
-		flex-shrink: 0;
-	}
-	.wf-kind.image,
-	.wf-kind.video {
-		color: var(--text-2);
-		background: var(--bg-4);
-	}
-	.wf-name {
-		flex: 1;
-		min-width: 0;
-		font-size: 13px;
-		font-weight: 500;
-		color: var(--text);
-		overflow: hidden;
-		text-overflow: ellipsis;
-		white-space: nowrap;
-	}
-	.wf-params {
-		font-size: 11px;
-		color: var(--text-3);
-		flex-shrink: 0;
-	}
-	.wf-row .a-select {
-		width: 220px;
-	}
 	/* ---------------- form column ---------------- */
 	.side-col {
 		width: 384px;
@@ -1879,9 +1265,6 @@
 			z-index: 790;
 			background: var(--overlay);
 		}
-		.wf-import-grid {
-			grid-template-columns: 1fr;
-		}
 	}
 
 	@media (max-width: 1023px) {
@@ -1910,15 +1293,4 @@
 		.card-foot {
 			margin-left: 0;
 		}
-		.wf-row {
-			flex-wrap: wrap;
-		}
-		.wf-name {
-			flex-basis: 100%;
-			order: 5;
-		}
-		.wf-row .a-select {
-			flex: 1;
-			min-width: 160px;
-		}
 	}</style>

calliope-web/src/routes/library/+page.svelte

@@ -209,7 +209,13 @@
 		{:else}
 			<div class="grid">
 				{#each visible as item (item.path)}
-					<div class="card" class:selected={selected.has(item.path)}>
+					<div
+						class="card"
+						class:selected={selected.has(item.path)}
+						class:a-frame={selected.has(item.path)}
+						style:--frame-inset="3px"
+						style:--frame-arm="16px"
+					>
 						<label class="check">
 							<input
 								type="checkbox"
@@ -217,12 +223,12 @@
 								onchange={() => toggle(item.path)}
 							/>
 						</label>
-						<button
-							type="button"
-							class="media"
-							onclick={() => openPreview(item)}
-							title={item.name}
-						>
+					<button
+						type="button"
+						class="media a-photo"
+						onclick={() => openPreview(item)}
+						title={item.name}
+					>
 							<SafeMedia src={assetUrl(item.path)} kind={item.kind} alt={item.name} controls={false} />
 						</button>
 						<div class="meta">
@@ -341,7 +347,6 @@
 		transition: border-color var(--d-state) ease;
 	}
 	.card.selected {
-		border-color: var(--accent-line);
 		background: linear-gradient(180deg, var(--accent-soft), transparent 32%), var(--bg-2);
 	}
 	.card :global(.media-el) {
@@ -380,6 +385,14 @@
 		cursor: zoom-in;
 		overflow: hidden;
 	}
+	/* 相纸白边 (HEL-680)：素材墙里的作品按相纸呈现 */
+	.media.a-photo {
+		border: var(--paper-w, 4px) solid var(--accent);
+		border-bottom-width: calc(var(--paper-w, 4px) + 2px);
+		background: var(--accent);
+		border-radius: 0;
+		box-sizing: border-box;
+	}
 	.media :global(img),
 	.media :global(video) {
 		width: 100%;

calliope-web/src/routes/models/+page.svelte

@@ -392,14 +392,8 @@
 		char: string;
 		dark?: boolean;
 	}[] = [
-		{
-			role: 'story',
-			labelKey: 'models.agentStory',
-			color: 'var(--avatar-1)',
-			char: '剧',
-			dark: true,
-		},
-		{ role: 'style', labelKey: 'models.agentStyle', color: 'var(--avatar-2)', char: '视' },
+		{ role: 'story', labelKey: 'models.agentStory', color: 'var(--avatar-1)', char: '剧', dark: true },
+		{ role: 'style', labelKey: 'models.agentStyle', color: 'var(--avatar-2)', char: '视', dark: true },
 		{ role: 'script', labelKey: 'models.agentScript', color: 'var(--avatar-3)', char: '分' },
 		{ role: 'assets', labelKey: 'models.agentAssets', color: 'var(--avatar-4)', char: '素' },
 		{ role: 'video', labelKey: 'models.agentVideo', color: 'var(--avatar-5)', char: '镜' },

calliope-web/src/routes/workbench/[id]/+page.svelte

@@ -496,7 +496,11 @@
 		<aside class="side-col">
 			{#if currentAgent}
 				<div class="side-card agent-card">
-					<span class="agent-avatar" style:background={`var(--avatar-${currentAgent.avatar})`}>
+					<span
+						class="agent-avatar"
+						class:light={(currentAgent.avatar ?? 1) <= 2}
+						style:background={`var(--avatar-${currentAgent.avatar})`}
+					>
 						{currentAgent.char}
 					</span>
 					<div class="agent-copy">
@@ -740,6 +744,10 @@
 		color: var(--text);
 		flex-shrink: 0;
 	}
+	/* HEL-680 灰阶头像：1–2 亮阶用深字 */
+	.agent-avatar.light {
+		color: var(--accent-ink);
+	}
 	.agent-copy {
 		display: flex;
 		flex-direction: column;

docs/changelogs/2026-10-11-hel682-s4-workflow-import-admin.md

@@ -0,0 +1,40 @@
+# S4：工作流批量导入向导与管理页（HEL-682）
+
+复用 `/connections` 工作流库，接入 S2（HEL-681）的数据层端点：批量导入向导 +
+元数据轻量管理列表。本批只动 `calliope-web`，后端零改动。
+
+## 批量导入向导（`WorkflowBatchImportWizard.svelte`）
+
+- 三步式抽屉（780px）：选择来源 → 预检报告 → 导入结果。
+- 来源两种：扫描服务器目录（`POST /api/workflows/import-scan`，默认
+  `example_ComfyUI_workflows`，可选对真实 ComfyUI 做 L2 预检）或本地多选
+  文件（客户端解析，非 UI 格式自动忽略，`POST /api/workflows/convert`）。
+- 预检报告逐文件给出 ok/warn/fail、转换提示、建议元数据（用途/分类/模型
+  家族/输入输出媒介）；warn 项可就地补充用途（目录模式在导入后 PATCH 到
+  新行）；「需人工确认」与转换失败项不可勾选、不会被导入、永远不被标作
+  可运行。
+- 重复导入按内容去重：重复执行全部 conflict 跳过，界面明示「已存在」。
+
+## 管理列表改元数据驱动（`WorkflowLibrary.svelte`，自 connections 页抽出）
+
+- 列表数据源换成 `GET /api/workflows?view=meta`（无 workflow_json /
+  input_schema，152 条约 90KB），完整 JSON 只在试运行、输出指定等操作时
+  按需单条加载并缓存。
+- 工具栏：搜索（`/` 聚焦）、类型/收藏/待确认/停用筛选、分类/模型家族/
+  媒介下拉、收藏/最近与名称排序、清除筛选；行内：分类与模型家族标签、
+  输入→输出媒介图标、收藏星标、启停开关（用途/输出未 settle 时禁用并
+  提示）、试运行（复用 `WorkflowTestDialog`）、L2 复查、绑定连接、删除；
+  分页渲染（60/批，「再显示」）。
+- 批量：勾选 + 全选 → 批量标注（查找替换重命名、统一说明、追加标签、
+  分类/模型家族）与批量启停。
+- 新增去重入口（`POST /api/workflows/dedupe`，字节级相同才删，保留最早）。
+- 原有能力保留：用途确认下拉、输出节点指定（HEL-638）、单个 API 格式
+  导入抽屉（HEL-655）。
+
+## 其他
+
+- `api.ts`/`comfy/types.ts`：`listMeta/convert/importBatch/importScanDry/
+  importScanCommit/touch/dedupe` 客户端与 `WorkflowMeta` 等类型；`update`
+  载荷支持 favorite/tags/category/model_family。
+- i18n：`wl.* / md.* / wiz.* / wfCat.*` 共 130 键 × 7 语言；分类展示用
+  标签映射，不把 30 字目录名暴露给用户。

example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/Minimax-H3提示词增强.json

@@ -0,0 +1,315 @@
+{
+  "id": "e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e",
+  "revision": 0,
+  "last_node_id": 173,
+  "last_link_id": 338,
+  "nodes": [
+    {
+      "id": 169,
+      "type": "MiniMaxH3GuidedWriter",
+      "pos": [
+        0,
+        0
+      ],
+      "size": [
+        400,
+        654
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "options",
+          "shape": 7,
+          "type": "H3_REWRITER_OPTIONS",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "rewritten_prompt",
+          "type": "STRING",
+          "links": [
+            336
+          ]
+        },
+        {
+          "name": "integrated_multimodal_description",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "overall_soundscape",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "non_diegetic_music",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "title": "Write the prompt",
+      "properties": {
+        "Node name for S&R": "MiniMaxH3GuidedWriter",
+        "max_duration": 30,
+        "cnr_id": "minimax-h3-prompt-rewriter",
+        "ver": "a59888df88a69385d429b6865ea441e7844f49c9"
+      },
+      "widgets_values": [
+        "图1的男人和图2的女人赤身躺在床上，女人跨坐在他身上，缓慢地起伏，双手撑在他胸口，头向后仰，呼吸越来越急。男人仰面躺着，喘息着低声说：\"看着我。\"女人俯下身吻他，镜头从侧面缓慢推近。\n",
+        "on disk: Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [qwen35, 5.2 GB]",
+        "T2VA",
+        "16:9",
+        10,
+        true,
+        42,
+        "fixed",
+        false,
+        "",
+        "",
+        false,
+        "",
+        false,
+        ""
+      ],
+      "widgets_values_named": {
+        "prompt": "图1的男人和图2的女人赤身躺在床上，女人跨坐在他身上，缓慢地起伏，双手撑在他胸口，头向后仰，呼吸越来越急。男人仰面躺着，喘息着低声说：\"看着我。\"女人俯下身吻他，镜头从侧面缓慢推近。\n",
+        "model": "on disk: Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [qwen35, 5.2 GB]",
+        "task": "T2VA",
+        "resolution": "16:9",
+        "duration": 10,
+        "greedy": true,
+        "seed": 42,
+        "control_after_generate": "fixed",
+        "keep_model_loaded": false,
+        "aspect_ratio": "",
+        "reference_material": "",
+        "bypass": false,
+        "system_prompt": "",
+        "repeat_last": false,
+        "library_pick": ""
+      }
+    },
+    {
+      "id": 170,
+      "type": "MiniMaxH3PromptCheck",
+      "pos": [
+        460,
+        0
+      ],
+      "size": [
+        390,
+        420
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "options",
+          "shape": 7,
+          "type": "H3_REWRITER_OPTIONS",
+          "link": null
+        },
+        {
+          "label": "ref_0",
+          "name": "references.ref_0",
+          "shape": 7,
+          "type": "IMAGE,VIDEO,AUDIO",
+          "link": null
+        },
+        {
+          "name": "prompt",
+          "type": "STRING",
+          "widget": {
+            "name": "prompt"
+          },
+          "link": 336
+        }
+      ],
+      "outputs": [
+        {
+          "name": "prompt",
+          "type": "STRING",
+          "links": [
+            337
+          ]
+        },
+        {
+          "name": "integrated_multimodal_description",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "subject_definitions",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "summary",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "retention_analysis",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "detailed_description",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "overall_soundscape",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "non_diegetic_music",
+          "type": "STRING",
+          "links": null
+        },
+        {
+          "name": "findings",
+          "type": "STRING",
+          "links": [
+            338
+          ]
+        }
+      ],
+      "title": "Check it against the H3 rules",
+      "properties": {
+        "Node name for S&R": "MiniMaxH3PromptCheck",
+        "max_duration": 30,
+        "cnr_id": "minimax-h3-prompt-rewriter",
+        "ver": "a59888df88a69385d429b6865ea441e7844f49c9"
+      },
+      "widgets_values": [
+        "",
+        "T2VA",
+        5
+      ],
+      "widgets_values_named": {
+        "prompt": "",
+        "task": "T2VA",
+        "duration": 5
+      }
+    },
+    {
+      "id": 171,
+      "type": "PreviewAny",
+      "pos": [
+        900,
+        0
+      ],
+      "size": [
+        560,
+        480
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "source",
+          "type": "*",
+          "link": 337
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "title": "The finished prompt",
+      "properties": {
+        "Node name for S&R": "PreviewAny",
+        "cnr_id": "comfy-core",
+        "ver": "0.30.0"
+      },
+      "widgets_values": [],
+      "widgets_values_named": {}
+    },
+    {
+      "id": 172,
+      "type": "PreviewAny",
+      "pos": [
+        900,
+        520
+      ],
+      "size": [
+        560,
+        240
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "source",
+          "type": "*",
+          "link": 338
+        }
+      ],
+      "outputs": [
+        {
+          "name": "STRING",
+          "type": "STRING",
+          "links": null
+        }
+      ],
+      "title": "What the check found",
+      "properties": {
+        "Node name for S&R": "PreviewAny",
+        "cnr_id": "comfy-core",
+        "ver": "0.30.0"
+      },
+      "widgets_values": [],
+      "widgets_values_named": {}
+    }
+  ],
+  "links": [
+    [
+      336,
+      169,
+      0,
+      170,
+      2,
+      "STRING"
+    ],
+    [
+      337,
+      170,
+      0,
+      171,
+      0,
+      "STRING"
+    ],
+    [
+      338,
+      170,
+      8,
+      172,
+      0,
+      "STRING"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1.1772972972972988,
+      "offset": [
+        429.8282570474093,
+        283.1220192192576
+      ]
+    },
+    "frontendVersion": "1.53.10"
+  },
+  "version": 0.4
+}

example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/加载本地latent解码.json

@@ -0,0 +1 @@
+{"id":"fae76a0b-6efc-499c-ae87-9d887bcd785f","revision":0,"last_node_id":10,"last_link_id":5,"nodes":[{"id":10,"type":"DJZ-LoadLatent","pos":[960,680],"size":[390,60],"flags":{},"order":1,"mode":0,"inputs":[{"label":"latent_file","localized_name":"latent_file","name":"latent_file","type":"COMBO","widget":{"name":"latent_file"},"link":null}],"outputs":[{"label":"LATENT","localized_name":"Latent","name":"LATENT","type":"LATENT","links":[5]}],"properties":{"cnr_id":"djz-nodes","ver":"f6ca9376132600e6245d3d9d2f1e5d0ffa448d99","Node name for S&R":"DJZ-LoadLatent","aux_id":"MushroomFleet/DJZ-Nodes","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.4.1"}},"widgets_values":["latents\\ComfyUI_00001_nmxvu_1762517653.latent"]},{"id":3,"type":"VAEDecode","pos":[1460,760],"size":[140,50],"flags":{},"order":2,"mode":0,"inputs":[{"label":"Latent","localized_name":"Latent","name":"samples","type":"LATENT","link":5},{"label":"VAE","localized_name":"vae","name":"vae","type":"VAE","link":4}],"outputs":[{"label":"图像","localized_name":"图像","name":"IMAGE","type":"IMAGE","links":[2]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.57","Node name for S&R":"VAEDecode","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":[]},{"id":4,"type":"VHS_VideoCombine","pos":[1680,750],"size":[400,334],"flags":{},"order":3,"mode":0,"inputs":[{"label":"图像","localized_name":"图像","name":"images","type":"IMAGE","link":2},{"label":"音频","localized_name":"音频","name":"audio","shape":7,"type":"AUDIO","link":null},{"label":"批次管理","localized_name":"批次管理","name":"meta_batch","shape":7,"type":"VHS_BatchManager","link":null},{"localized_name":"vae","name":"vae","shape":7,"type":"VAE","link":null},{"label":"帧率","localized_name":"帧率","name":"frame_rate","type":"FLOAT","widget":{"name":"frame_rate"},"link":null},{"label":"循环次数","localized_name":"循环次数","name":"loop_count","type":"INT","widget":{"name":"loop_count"},"link":null},{"label":"文件名前缀","localized_name":"文件名前缀","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null},{"label":"格式","localized_name":"格式","name":"format","type":"COMBO","widget":{"name":"format"},"link":null},{"label":"Ping-Pong","localized_name":"Ping-Pong","name":"pingpong","type":"BOOLEAN","widget":{"name":"pingpong"},"link":null},{"label":"保存到输出文件夹","localized_name":"保存到输出文件夹","name":"save_output","type":"BOOLEAN","widget":{"name":"save_output"},"link":null},{"name":"pix_fmt","type":["yuv420p","yuv420p10le"],"widget":{"name":"pix_fmt"},"link":null},{"name":"crf","type":"INT","widget":{"name":"crf"},"link":null},{"label":"保存元数据","localized_name":"保存元数据","name":"save_metadata","type":"BOOLEAN","widget":{"name":"save_metadata"},"link":null},{"label":"修剪音频","localized_name":"修剪音频","name":"trim_to_audio","type":"BOOLEAN","widget":{"name":"trim_to_audio"},"link":null}],"outputs":[{"label":"文件名","localized_name":"文件名","name":"Filenames","type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"8e4d79471bf1952154768e8435a9300077b534fa","Node name for S&R":"VHS_VideoCombine","ue_properties":{"widget_ue_connectable":{},"version":"7.1","input_ue_unconnectable":{}}},"widgets_values":{"frame_rate":16,"loop_count":0,"filename_prefix":"video/WanVideo_","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"hidden":false,"paused":false,"params":{"filename":"WanVideo__00001.mp4","subfolder":"video","type":"output","format":"video/h264-mp4","frame_rate":16,"workflow":"WanVideo__00001.png","fullpath":"E:\\ComfyUI-Data\\output\\video\\WanVideo__00001.mp4"}}}},{"id":5,"type":"VAELoader","pos":[980,820],"size":[360,60],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"vae名称","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[4]}],"properties":{"cnr_id":"comfy-core","ver":"0.3.68","Node name for S&R":"VAELoader","ue_properties":{"widget_ue_connectable":{},"input_ue_unconnectable":{},"version":"7.4.1"}},"widgets_values":["Wan2_1_VAE_bf16.safetensors"]}],"links":[[2,3,0,4,0,"IMAGE"],[4,5,0,3,1,"VAE"],[5,10,0,3,0,"LATENT"]],"groups":[],"config":{},"extra":{"ue_links":[],"ds":{"scale":1.0834705943389082,"offset":[-573.5954979317662,-431.50654580611246]},"links_added_by_ue":[]},"version":0.4}

example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/图像分割-多宫格分割.json

@@ -0,0 +1 @@
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example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/音频人声分离.json

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example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/音频转MP3格式.json

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example_ComfyUI_workflows/0-基础处理：图像合并-音频分离-视频截取合并-图像视频放大/高清放大/RTX_image_upscale.json

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