VFX Utilities
Generate production-ready VFX utility passes from any image or plate in seconds. This workflow creates alphas, depth, and normal maps using prompt-based and point-based segmentation, giving you the core tools for relighting, compositing, and look development without needing a full CG render.
下载工作流在 Cloud 中试用 API 文档
简介
Generate production-ready VFX utility passes from any image or plate in seconds. This workflow creates alphas, depth, and normal maps using prompt-based and point-based segmentation, giving you the core tools for relighting, compositing, and look development without needing a full CG render.
你需要提供
- 正在读取工作流
在 ComfyUI 中运行。 此工作流无法在本页面运行。你可以在 Comfy Cloud 中打开（已预先加载所需内容），或下载后在自己的 ComfyUI 中使用。
在 Cloud 中试用示例
试试一个示例
查看工作流内部
节点图的只读预览。在 Comfy Cloud 中打开或下载后即可编辑节点。
Loading the graph
Open full-size workflow preview- 作者
- ComfyUI
需要自定义节点
- 正在读取工作流
通过代码使用此工作流
尽可能根据工作流图和输入自动生成代码，否则显示已保存的示例。运行代码可能产生费用，请先核对凭据和端点。
1 获取 API 密钥 ↗
What you need
- Runs on
- Comfy Cloud
- 密钥
- COMFY_API_KEY
需要付费的 Cloud 方案和额度。
下载 API JSONAPI 文档 ↗
# Python 3.10+: pip install comfy-sdk==0.4.0
import os
from comfy_sdk import Comfy
api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
"1": {
"class_type": "SAM3Segment",
"inputs": {
"background": "Alpha",
"background_color": "#222222",
"confidence_threshold": 0.5,
"device": "Auto",
"image": [
"6",
0
],
"invert_output": False,
"mask_blur": 0,
"mask_offset": 0,
"max_segments": 0,
"output_mode": "Merged",
"prompt": [
"17",
0
],
"segment_pick": 0,
"unload_model": False
},
"_meta": {
"title": "SAM3 Segmentation (RMBG)"
}
},
"2": {
"class_type": "DownloadAndLoadDepthAnythingV2Model",
"inputs": {
"model": "depth_anything_v2_vitl_fp32.safetensors",
"precision": "auto"
},
"_meta": {
"title": "DownloadAndLoadDepthAnythingV2Model"
}
},
"4": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "depth",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"47",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "DEPTH PASS"
}
},
"6": {
"class_type": "VHS_LoadVideo",
"inputs": {
"custom_height": 0,
"custom_width": 0,
"force_rate": 24,
"format": "AnimateDiff",
"frame_load_cap": 0,
"select_every_nth": 1,
"skip_first_frames": 0,
"video": "77fcc9512c2fd37409261685a39f805b8a735e5b4e85a8e9c80e543e6784d531.mp4"
},
"_meta": {
"title": "SOURCE"
}
},
"7": {
"class_type": "VHS_VideoInfo",
"inputs": {
"video_info": [
"6",
3
]
},
"_meta": {
"title": "Video Info 🎥🅥🅗🅢"
}
},
"8": {
"class_type": "DepthAnything_V2",
"inputs": {
"da_model": [
"2",
0
],
"images": [
"6",
0
]
},
"_meta": {
"title": "Depth Anything V2"
}
},
"14": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "alpha_1",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"56",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "MATTE 1"
}
},
"16": {
"class_type": "SAM3VideoSegmentation",
"inputs": {
"frame_idx": 0,
"prompt_mode": "text",
"score_threshold": 0.3,
"text_prompt": [
"17",
0
],
"video_frames": [
"6",
0
]
},
"_meta": {
"title": "SAM3 Video Segmentation"
}
},
"17": {
"class_type": "TextBox1",
"inputs": {
"text1": "person"
},
"_meta": {
"title": "Object Prompt"
}
},
"18": {
"class_type": "SAM3Propagate",
"inputs": {
"direction": "both",
"end_frame": -1,
"offload_model": False,
"sam3_model": [
"19",
0
],
"start_frame": 0,
"video_state": [
"16",
0
]
},
"_meta": {
"title": "SAM3 Propagate"
}
},
"19": {
"class_type": "LoadSAM3Model",
"inputs": {
"model_path": "models/sam3/sam3.pt"
},
"_meta": {
"title": "(down)Load SAM3 Model"
}
},
"20": {
"class_type": "SAM3VideoOutput",
"inputs": {
"masks": [
"18",
0
],
"obj_id": -1,
"plot_all_masks": True,
"scores": [
"18",
1
],
"video_state": [
"18",
2
]
},
"_meta": {
"title": "SAM3 Video Output"
}
},
"25": {
"class_type": "MaskToImage",
"inputs": {
"mask": [
"20",
0
]
},
"_meta": {
"title": "Convert Mask to Image"
}
},
"26": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "alpha_2",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"53",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "MATTE 2"
}
},
"31": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "alpha_3",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"50",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "MATTE 3"
}
},
"37": {
"class_type": "NormalCrafterNode",
"inputs": {
"decode_chunk_size": 4,
"images": [
"6",
0
],
"max_res_dimension": 1024,
"offload_pipe_to_cpu_on_finish": True,
"seed": 5794135798431254,
"time_step_size": 10,
"use_xformers": "auto",
"window_size": 14
},
"_meta": {
"title": "NormalCrafter (Process Video)"
}
},
"39": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "normals",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"44",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "NORMALS PASS"
}
},
"44": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"37",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"47": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"8",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"50": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"85",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"53": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"25",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"56": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"59",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"59": {
"class_type": "MaskToImage",
"inputs": {
"mask": [
"1",
1
]
},
"_meta": {
"title": "Convert Mask to Image"
}
},
"60": {
"class_type": "FaceSegment",
"inputs": {
"Earring": False,
"Eyeglasses": False,
"Hair": False,
"Left-ear": False,
"Left-eye": True,
"Left-eyebrow": True,
"Lower-lip": False,
"Mouth": False,
"Neck": False,
"Nose": False,
"Right-ear": False,
"Right-eye": True,
"Right-eyebrow": True,
"Skin": False,
"Upper-lip": False,
"background": "Alpha",
"background_color": "#222222",
"images": [
"6",
0
],
"invert_output": False,
"mask_blur": 0,
"mask_offset": 0,
"process_res": 512
},
"_meta": {
"title": "Face Segment (RMBG)"
}
},
"61": {
"class_type": "VHS_VideoCombine",
"inputs": {
"crf": 12,
"filename_prefix": "alpha_4",
"format": "video/h264-mp4",
"frame_rate": [
"7",
0
],
"images": [
"65",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "BEAUTY MATTES"
}
},
"65": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"7",
4
],
"image": [
"67",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "nearest-exact",
"width": [
"7",
3
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"67": {
"class_type": "MaskToImage",
"inputs": {
"mask": [
"60",
1
]
},
"_meta": {
"title": "Convert Mask to Image"
}
},
"85": {
"class_type": "MaskToImage",
"inputs": {
"mask": [
"86",
0
]
},
"_meta": {
"title": "Convert Mask to Image"
}
},
"86": {
"class_type": "SAM3VideoOutput",
"inputs": {
"masks": [
"87",
0
],
"obj_id": -1,
"plot_all_masks": True,
"scores": [
"87",
1
],
"video_state": [
"87",
2
]
},
"_meta": {
"title": "SAM3 Video Output"
}
},
"87": {
"class_type": "SAM3Propagate",
"inputs": {
"direction": "both",
"end_frame": -1,
"offload_model": False,
"sam3_model": [
"92",
0
],
"start_frame": 0,
"video_state": [
"88",
0
]
},
"_meta": {
"title": "SAM3 Propagate"
}
},
"88": {
"class_type": "SAM3VideoSegmentation",
"inputs": {
"frame_idx": 0,
"negative_points": [
"89",
1
],
"positive_points": [
"89",
0
],
"prompt_mode": "point",
"score_threshold": 0.3,
"text_prompt": "",
"video_frames": [
"6",
0
]
},
"_meta": {
"title": "SAM3 Video Segmentation"
}
},
"89": {
"class_type": "SAM3PointCollector",
"inputs": {
"coordinates": "[{\"x\":639.3392401688973,\"y\":161.28468577884667},{\"x\":654.6042907591711,\"y\":281.71285378550704},{\"x\":590.1518549335707,\"y\":290.1937106873845},{\"x\":664.7809911526871,\"y\":376.69845108653493},{\"x\":732.6256604427927,\"y\":308.85159587151503}]",
"image": [
"90",
0
],
"neg_coordinates": "[{\"x\":902.2373336680569,\"y\":229.1315409938666},{\"x\":1095.594641144858,\"y\":329.205652436021},{\"x\":1073.5451236255738,\"y\":505.6074759950728},{\"x\":919.1985009905834,\"y\":595.5045591549742},{\"x\":637.6431234366447,\"y\":624.3394726213577},{\"x\":369.6566797407273,\"y\":546.3155891240847},{\"x\":256.01685867980024,\"y\":412.3180500744204},{\"x\":218.7022905702421,\"y\":276.62433964438054},{\"x\":349.30327895369555,\"y\":173.15788544147514},{\"x\":328.9498781666639,\"y\":134.14594369283867},{\"x\":128.8081037608521,\"y\":193.51194200598113},{\"x\":473.1198004081384,\"y\":520.8730184184523}]",
"points_store": "{\"positive\":[{\"x\":639.3392401688973,\"y\":161.28468577884667},{\"x\":654.6042907591711,\"y\":281.71285378550704},{\"x\":590.1518549335707,\"y\":290.1937106873845},{\"x\":664.7809911526871,\"y\":376.69845108653493},{\"x\":732.6256604427927,\"y\":308.85159587151503}],\"negative\":[{\"x\":902.2373336680569,\"y\":229.1315409938666},{\"x\":1095.594641144858,\"y\":329.205652436021},{\"x\":1073.5451236255738,\"y\":505.6074759950728},{\"x\":919.1985009905834,\"y\":595.5045591549742},{\"x\":637.6431234366447,\"y\":624.3394726213577},{\"x\":369.6566797407273,\"y\":546.3155891240847},{\"x\":256.01685867980024,\"y\":412.3180500744204},{\"x\":218.7022905702421,\"y\":276.62433964438054},{\"x\":349.30327895369555,\"y\":173.15788544147514},{\"x\":328.9498781666639,\"y\":134.14594369283867},{\"x\":128.8081037608521,\"y\":193.51194200598113},{\"x\":473.1198004081384,\"y\":520.8730184184523}]}"
},
"_meta": {
"title": "SAM3 Point Collector"
}
},
"90": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": 0,
"image": [
"6",
0
],
"length": 1
},
"_meta": {
"title": "Get Image from Batch"
}
},
"92": {
"class_type": "LoadSAM3Model",
"inputs": {
"model_path": "models/sam3/sam3.pt"
},
"_meta": {
"title": "(down)Load SAM3 Model"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)