Files
aigc-home/calliope-backend/tests/fixtures/comfy_native/h3_ref2va_05_API.json
T
30e8e85766 feat(studio): 三种图片输入工作流与最多九张参考图 (HEL-633)
- 解析:H3 参考生视频 ref_images 自增输入收拢为 1–9 张有序参考图组;
  图生视频首/尾帧、Qwen 编辑输入图按真实连线识别,未连线不出槽位;
  Qwen 编辑模式暴露 resolution
- 打补丁:按张数克隆/复用/删除 LoadImage 并按序接线 ref_image_0..N-1
- 校验:参考图上限 9、至少 1 张、格式/存在性;必填图片槽位
- 工作流体检:缺 class_type / 断链 / 采样器无模型 → 导入时中文告警,
  生成接口与 worker 拒绝执行并提示重新导出
- 前端:RefImageGrid(逐张添加/预览/替换/删除/序号/超限整批拒绝)、
  MediaSlot 横排已选态、分辨率字段、损坏工作流提示、连接页告警标签
- 测试:三份真实 JSON + 1/4/9 张参考图全链路

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: multica-agent <github@multica.ai>
2026-09-29 09:16:17 +08:00

327 lines
6.2 KiB
JSON

{
"1": {
"inputs": {
"value": "PASTE YOUR PROMPT HERE, in the reference contract:\nsubject_definitions:\n<Subject 1> is the person in <Picture 1>; their face, hair and clothing follow <Picture 1>.\n\nsummary:\n[reference generation] one continuous shot of <Subject 1> doing X, appearance taken from <Picture 1>.\n\nretention_analysis:\n<Subject 1> is fully preserved from <Picture 1>.\n\ndetailed_description:\n[Shot 1] ... camera, action, timing ...\n\noverall_soundscape: ...\n\nnon_diegetic_music: N/A"
},
"class_type": "PrimitiveStringMultiline",
"_meta": {
"title": "PROMPT (feeds every stage)"
}
},
"92": {
"inputs": {
"filename_prefix": "video/05_ref2va_4step_sla",
"format": "auto",
"format.codec": "auto",
"codec": "auto",
"video": [
"130",
0
]
},
"class_type": "SaveVideo",
"_meta": {
"title": "REFERENCE 2026-08-29: fused ref-delta bake + SLA 0.9/64, res_multistep/simple/4, shift 12/3, 1152x640, 243 f, seed 42 -> subway_bake_sla_00001_.mp4"
}
},
"115": {
"inputs": {
"aspect_ratio": "16:9 (Widescreen)",
"megapixels": 0.7,
"multiple": 32
},
"class_type": "ResolutionSelector",
"_meta": {
"title": "ResolutionSelector"
}
},
"116": {
"inputs": {
"expression": "a"
},
"class_type": "ComfyMathExpression",
"_meta": {
"title": "ComfyMathExpression"
}
},
"119": {
"inputs": {
"vae_name": "minimax_h3_video_vae_int8_convrot.safetensors"
},
"class_type": "VAELoader",
"_meta": {
"title": "VAELoader"
}
},
"120": {
"inputs": {
"vae_name": "minimax_h3_audio_vae_fp32.safetensors"
},
"class_type": "VAELoader",
"_meta": {
"title": "VAELoader"
}
},
"121": {
"inputs": {
"samples": [
"125",
0
],
"vae": [
"120",
0
]
},
"class_type": "VAEDecodeAudio",
"_meta": {
"title": "VAEDecodeAudio"
}
},
"122": {
"inputs": {
"samples": [
"125",
0
],
"vae": [
"119",
0
]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAEDecode"
}
},
"124": {
"inputs": {
"scheduler": "simple",
"steps": 4,
"denoise": 1,
"model": [
"142",
0
]
},
"class_type": "BasicScheduler",
"_meta": {
"title": "BasicScheduler"
}
},
"125": {
"inputs": {
"noise": [
"129",
0
],
"guider": [
"126",
0
],
"sampler": [
"135",
0
],
"sigmas": [
"124",
0
],
"latent_image": [
"131",
1
]
},
"class_type": "SamplerCustomAdvanced",
"_meta": {
"title": "SamplerCustomAdvanced"
}
},
"126": {
"inputs": {
"model": [
"142",
0
],
"conditioning": [
"131",
0
]
},
"class_type": "BasicGuider",
"_meta": {
"title": "BasicGuider"
}
},
"127": {
"inputs": {
"unet_name": "minimax_h3_fused_refdelta_r1024_turbo8_mystic07_int8_convrot.safetensors",
"weight_dtype": "default"
},
"class_type": "UNETLoader",
"_meta": {
"title": "UNETLoader"
}
},
"128": {
"inputs": {
"clip_name": "qwen3vl_32b_heretic_minimax_h3_nvfp4.safetensors",
"type": "minimax",
"device": "default"
},
"class_type": "CLIPLoader",
"_meta": {
"title": "CLIPLoader"
}
},
"129": {
"inputs": {
"noise_seed": 42
},
"class_type": "RandomNoise",
"_meta": {
"title": "RandomNoise"
}
},
"130": {
"inputs": {
"fps": 24,
"bit_depth": 8,
"color_space": "sRGB",
"codec": "none",
"images": [
"122",
0
],
"audio": [
"121",
0
]
},
"class_type": "CreateVideo",
"_meta": {
"title": "CreateVideo"
}
},
"131": {
"inputs": {
"prompt": [
"1",
0
],
"width": [
"115",
0
],
"height": [
"115",
1
],
"length": [
"132",
1
],
"ref_image_size": "match",
"clip": [
"128",
0
],
"vae": [
"119",
0
],
"audio_vae": [
"120",
0
],
"ref_images.ref_image_0": [
"901",
0
]
},
"class_type": "MiniMaxH3ReferenceToVideo",
"_meta": {
"title": "MiniMaxH3ReferenceToVideo"
}
},
"132": {
"inputs": {
"expression": "max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17",
"values.a": [
"133",
0
]
},
"class_type": "ComfyMathExpression",
"_meta": {
"title": "ComfyMathExpression"
}
},
"133": {
"inputs": {
"value": 10
},
"class_type": "PrimitiveFloat",
"_meta": {
"title": "PrimitiveFloat"
}
},
"135": {
"inputs": {
"sampler_name": "res_multistep"
},
"class_type": "KSamplerSelect",
"_meta": {
"title": "KSamplerSelect"
}
},
"142": {
"inputs": {
"shift_video": 12,
"shift_audio": 3,
"model": [
"900",
0
]
},
"class_type": "MiniMaxH3SigmaShift",
"_meta": {
"title": "MiniMaxH3SigmaShift"
}
},
"900": {
"inputs": {
"sparsity_ratio": 0.9,
"block_size": "64",
"min_seq_len": 8192,
"dense_last_steps": 0,
"protect_audio": true,
"enabled": true,
"dense_steps": "1",
"dense_backend": "comfy_kitchen",
"disable_fp16_accum": true,
"stabilize_motion": false,
"reference_protection": "Off",
"tail_correction": false,
"use_int8_qk": true,
"engine": "comfy_kitchen",
"model": [
"127",
0
]
},
"class_type": "H3SLAAttention",
"_meta": {
"title": "H3 SLA Attention 0.9/64 (their graph)"
}
},
"901": {
"inputs": {
"image": "reference_1.png"
},
"class_type": "LoadImage",
"_meta": {
"title": "REFERENCE IMAGE 1 (<Picture 1>); the node grows more image / video / audio slots"
}
}
}