SCAIL-2: Character Replacement
Upload 1 reference character image and 1 driving video. Generate an animated video of the character matching the driving video's motion. Ideal for character animation, in-video character replacement, and motion transfer projects.
Inside the workflow
A read-only preview of the source template. Open it in Cloud to explore the nodes and make changes.
Loading the graph
Open full-size workflow preview- Output
- Video
- Author
- ComfyUI
Call this model from your code
The request below uses the same prepared graph and settings as the Playground. Each submission can start a paid run; do not automatically retry a submission whose outcome is unknown.
What you need
- Runs on
- Comfy Cloud
- Key
- COMFY_API_KEY
- Your files
- Uploaded by the code from their urls
Needs a paid Cloud plan and credits.
# 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({
"30": {
"class_type": "LoadImage",
"inputs": {
"image": "UPLOADED_image_FILENAME"
},
"_meta": {
"title": "Load Image"
}
},
"155": {
"class_type": "LoadVideo",
"inputs": {
"file": "UPLOADED_video_FILENAME"
},
"_meta": {
"title": "Load Video"
}
},
"201": {
"class_type": "CreateVideo",
"inputs": {
"audio": [
"215",
1
],
"bit_depth": 8,
"codec": "none",
"color_space": "sRGB",
"fps": [
"215",
2
],
"images": [
"213:6",
0
]
},
"_meta": {
"title": "Create Video"
}
},
"202": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/ComfyUI",
"format": "auto",
"format.codec": "auto",
"video": [
"201",
0
]
},
"_meta": {
"title": "Save Video (First Segement)"
}
},
"215": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"155",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"263": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"215",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"264": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "ceil(a / (81 - 5))",
"values.a": [
"263",
2
]
},
"_meta": {
"title": "Math Expression"
}
},
"265": {
"class_type": "PreviewAny",
"inputs": {
"source": [
"264",
1
]
},
"_meta": {
"title": "Preview as Text ()"
}
},
"269": {
"class_type": "BatchImagesNode",
"inputs": {
"images.image0": [
"213:6",
0
],
"images.image1": [
"262:252",
0
]
},
"_meta": {
"title": "Batch Images"
}
},
"270": {
"class_type": "CreateVideo",
"inputs": {
"audio": [
"215",
1
],
"bit_depth": 8,
"codec": "none",
"color_space": "sRGB",
"fps": [
"215",
2
],
"images": [
"269",
0
]
},
"_meta": {
"title": "Create Video"
}
},
"271": {
"class_type": "SaveVideo",
"inputs": {
"filename_prefix": "video/SCAIL2",
"format": "auto",
"format.codec": "auto",
"video": [
"270",
0
]
},
"_meta": {
"title": "Save Video (Final output)"
}
},
"213:11": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors",
"model": [
"213:318",
0
],
"strength_model": 0.8
},
"_meta": {
"title": "Load LoRA"
}
},
"213:114": {
"class_type": "WanSCAILToVideo",
"inputs": {
"batch_size": 1,
"clip_vision_output": [
"213:76",
0
],
"height": [
"213:163",
1
],
"length": [
"213:163",
2
],
"negative": [
"213:4",
0
],
"pose_end": 1,
"pose_start": 0,
"pose_strength": 1,
"pose_video": [
"213:156",
0
],
"pose_video_mask": [
"213:197",
0
],
"positive": [
"213:3",
0
],
"previous_frame_count": 5,
"reference_image": [
"30",
0
],
"reference_image_mask": [
"213:197",
1
],
"replacement_mode": [
"213:203",
0
],
"vae": [
"213:7",
0
],
"video_frame_offset": 0,
"width": [
"213:163",
0
]
},
"_meta": {
"title": "WanSCAILToVideo"
}
},
"213:154": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "wan2.1_14B_SCAIL_2_fp16.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"213:156": {
"class_type": "ResizeImageMaskNode",
"inputs": {
"input": [
"213:177",
0
],
"resize_type": "scale dimensions",
"resize_type.crop": "center",
"resize_type.height": [
"213:182",
1
],
"resize_type.width": [
"213:180",
1
],
"scale_method": "area"
},
"_meta": {
"title": "Resize Image/Mask"
}
},
"213:157": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"155",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"213:163": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"213:156",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"213:165": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 40
},
"_meta": {
"title": "Int (Steps)"
}
},
"213:166": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 5
},
"_meta": {
"title": "Float (CFG)"
}
},
"213:167": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 1
},
"_meta": {
"title": "Float (CFG)"
}
},
"213:168": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 6
},
"_meta": {
"title": "Int (Steps)"
}
},
"213:169": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"213:318",
0
],
"on_true": [
"213:11",
0
],
"switch": [
"213:172",
0
]
},
"_meta": {
"title": "Switch (Model)"
}
},
"213:170": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"213:165",
0
],
"on_true": [
"213:168",
0
],
"switch": [
"213:172",
0
]
},
"_meta": {
"title": "Switch (Steps)"
}
},
"213:171": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"213:166",
0
],
"on_true": [
"213:167",
0
],
"switch": [
"213:172",
0
]
},
"_meta": {
"title": "Switch (Steps)"
}
},
"213:172": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": True
},
"_meta": {
"title": "Boolean (Enable Distill LoRA?)"
}
},
"213:177": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": [
"213:184",
1
],
"image": [
"213:157",
0
],
"length": 81
},
"_meta": {
"title": "Get Image from Batch"
}
},
"213:178": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 896
},
"_meta": {
"title": "Int (Width)"
}
},
"213:179": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 512
},
"_meta": {
"title": "Int (Height)"
}
},
"213:18": {
"class_type": "BasicScheduler",
"inputs": {
"denoise": 1,
"model": [
"213:11",
0
],
"scheduler": "simple",
"steps": [
"213:170",
0
]
},
"_meta": {
"title": "BasicScheduler"
}
},
"213:180": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(a // 32) * 32",
"values.a": [
"213:178",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"213:182": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(a // 32) * 32",
"values.a": [
"213:179",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"213:183": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 1
},
"_meta": {
"title": "Int (segment index)"
}
},
"213:184": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(b - c) * (a - 1)",
"values.a": [
"213:183",
0
],
"values.b": [
"213:901",
0
],
"values.c": [
"213:902",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"213:19": {
"class_type": "SamplerCustom",
"inputs": {
"add_noise": True,
"cfg": [
"213:171",
0
],
"latent_image": [
"213:114",
2
],
"model": [
"213:95",
0
],
"negative": [
"213:114",
1
],
"noise_seed": 1,
"positive": [
"213:114",
0
],
"sampler": [
"213:27",
0
],
"sigmas": [
"213:18",
0
]
},
"_meta": {
"title": "SamplerCustom"
}
},
"213:191": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"213:193",
1
],
"text": "human"
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"213:193": {
"class_type": "CheckpointLoaderSimple",
"inputs": {
"ckpt_name": "sam3.1_multiplex_fp16.safetensors"
},
"_meta": {
"title": "Load Checkpoint"
}
},
"213:196": {
"class_type": "SAM3_VideoTrack",
"inputs": {
"conditioning": [
"213:191",
0
],
"detect_interval": 1,
"detection_threshold": 0.5,
"images": [
"213:156",
0
],
"max_objects": 4,
"model": [
"213:193",
0
]
},
"_meta": {
"title": "Run SAM3 Video Track"
}
},
"213:197": {
"class_type": "SCAIL2ColoredMask",
"inputs": {
"driving_track_data": [
"213:196",
0
],
"object_indices": "",
"ref_track_data": [
"213:198",
0
],
"replacement_mode": [
"213:203",
0
],
"sort_by": "left_to_right"
},
"_meta": {
"title": "Create SCAIL-2 Colored Mask"
}
},
"213:198": {
"class_type": "SAM3_VideoTrack",
"inputs": {
"conditioning": [
"213:212",
0
],
"detect_interval": 1,
"detection_threshold": 0.5,
"images": [
"30",
0
],
"max_objects": 4,
"model": [
"213:193",
0
]
},
"_meta": {
"title": "Run SAM3 Video Track"
}
},
"213:203": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": True
},
"_meta": {
"title": "Boolean (Replace Mode)"
}
},
"213:212": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"213:193",
1
],
"text": "human"
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"213:27": {
"class_type": "KSamplerSelect",
"inputs": {
"sampler_name": "euler"
},
"_meta": {
"title": "KSamplerSelect"
}
},
"213:3": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"213:9",
0
],
"text": "An elderly East Asian man with sleek silver-white hair tucked behind his ears and a calm, dignified face dances with lively rhythm in a bright, sunlit dance studio with tall steel-framed windows and a pale maple floor. He wears an avant-garde color-blocked outfit: an open cobalt-blue and emerald-green wool jacket over a saffron-yellow silk mock-neck tunic, vivid magenta tailored straight-leg trousers with crisp creases and polished oxblood-red leather shoes. The jacket swings open as he turns, the trousers fold naturally at the knees and his shoes squeak lightly on the floor. Soft morning daylight falls through the windows, casting long shadows on the boards. Realistic skin texture, natural fabric movement, consistent clothing and identity throughout, steady lighting, sharp detail and smooth, natural motion."
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"213:318": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "wan2.1_SCAIL_2_DPO_lora_bf16.safetensors",
"model": [
"213:154",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"213:4": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"213:9",
0
],
"text": ""
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"213:6": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"213:19",
1
],
"vae": [
"213:7",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"213:7": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "Wan2_1_VAE_bf16.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"213:75": {
"class_type": "CLIPVisionLoader",
"inputs": {
"clip_name": "clip_vision_h.safetensors"
},
"_meta": {
"title": "Load CLIP Vision"
}
},
"213:76": {
"class_type": "CLIPVisionEncode",
"inputs": {
"clip_vision": [
"213:75",
0
],
"crop": "none",
"image": [
"30",
0
]
},
"_meta": {
"title": "CLIP Vision Encode"
}
},
"213:9": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"device": "default",
"type": "wan"
},
"_meta": {
"title": "Load CLIP"
}
},
"213:901": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 81
},
"_meta": {
"title": "Int (segment length)"
}
},
"213:902": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 5
},
"_meta": {
"title": "Int (previous frame count)"
}
},
"213:95": {
"class_type": "ModelSamplingSD3",
"inputs": {
"model": [
"213:169",
0
],
"shift": 5
},
"_meta": {
"title": "ModelSamplingSD3"
}
},
"262:216": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors",
"model": [
"262:319",
0
],
"strength_model": 0.8
},
"_meta": {
"title": "Load LoRA"
}
},
"262:217": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "Wan2_1_VAE_bf16.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"262:218": {
"class_type": "ResizeImageMaskNode",
"inputs": {
"input": [
"262:235",
0
],
"resize_type": "scale dimensions",
"resize_type.crop": "center",
"resize_type.height": [
"262:239",
1
],
"resize_type.width": [
"262:238",
1
],
"scale_method": "area"
},
"_meta": {
"title": "Resize Image/Mask"
}
},
"262:219": {
"class_type": "GetVideoComponents",
"inputs": {
"video": [
"155",
0
]
},
"_meta": {
"title": "Get Video Components"
}
},
"262:220": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"262:218",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"262:221": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
"device": "default",
"type": "wan"
},
"_meta": {
"title": "Load CLIP"
}
},
"262:222": {
"class_type": "CLIPVisionLoader",
"inputs": {
"clip_name": "clip_vision_h.safetensors"
},
"_meta": {
"title": "Load CLIP Vision"
}
},
"262:223": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "wan2.1_14B_SCAIL_2_fp16.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"262:224": {
"class_type": "ModelSamplingSD3",
"inputs": {
"model": [
"262:232",
0
],
"shift": 5
},
"_meta": {
"title": "ModelSamplingSD3"
}
},
"262:225": {
"class_type": "KSamplerSelect",
"inputs": {
"sampler_name": "euler"
},
"_meta": {
"title": "KSamplerSelect"
}
},
"262:226": {
"class_type": "BasicScheduler",
"inputs": {
"denoise": 1,
"model": [
"262:216",
0
],
"scheduler": "simple",
"steps": [
"262:233",
0
]
},
"_meta": {
"title": "BasicScheduler"
}
},
"262:227": {
"class_type": "SamplerCustom",
"inputs": {
"add_noise": True,
"cfg": [
"262:234",
0
],
"latent_image": [
"262:259",
2
],
"model": [
"262:224",
0
],
"negative": [
"262:259",
1
],
"noise_seed": 1,
"positive": [
"262:259",
0
],
"sampler": [
"262:225",
0
],
"sigmas": [
"262:226",
0
]
},
"_meta": {
"title": "SamplerCustom"
}
},
"262:228": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 6
},
"_meta": {
"title": "Int (Steps)"
}
},
"262:229": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 1
},
"_meta": {
"title": "Float (CFG)"
}
},
"262:230": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 40
},
"_meta": {
"title": "Int (Steps)"
}
},
"262:231": {
"class_type": "PrimitiveFloat",
"inputs": {
"value": 5
},
"_meta": {
"title": "Float (CFG)"
}
},
"262:232": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"262:319",
0
],
"on_true": [
"262:216",
0
],
"switch": [
"262:255",
0
]
},
"_meta": {
"title": "Switch (Model)"
}
},
"262:233": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"262:230",
0
],
"on_true": [
"262:228",
0
],
"switch": [
"262:255",
0
]
},
"_meta": {
"title": "Switch (Steps)"
}
},
"262:234": {
"class_type": "ComfySwitchNode",
"inputs": {
"on_false": [
"262:231",
0
],
"on_true": [
"262:229",
0
],
"switch": [
"262:255",
0
]
},
"_meta": {
"title": "Switch (Steps)"
}
},
"262:235": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": [
"262:241",
1
],
"image": [
"262:219",
0
],
"length": 81
},
"_meta": {
"title": "Get Image from Batch"
}
},
"262:236": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 896
},
"_meta": {
"title": "Int (Width)"
}
},
"262:237": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 512
},
"_meta": {
"title": "Int (Height)"
}
},
"262:238": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(a // 32) * 32",
"values.a": [
"262:236",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"262:239": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(a // 32) * 32",
"values.a": [
"262:237",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"262:240": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 2
},
"_meta": {
"title": "Int (segment index)"
}
},
"262:241": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "(b - c) * (a - 1)",
"values.a": [
"262:240",
0
],
"values.b": [
"262:901",
0
],
"values.c": [
"262:902",
0
]
},
"_meta": {
"title": "Math Expression"
}
},
"262:242": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"262:243",
1
],
"text": "human"
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"262:243": {
"class_type": "CheckpointLoaderSimple",
"inputs": {
"ckpt_name": "sam3.1_multiplex_fp16.safetensors"
},
"_meta": {
"title": "Load Checkpoint"
}
},
"262:244": {
"class_type": "SAM3_VideoTrack",
"inputs": {
"conditioning": [
"262:242",
0
],
"detect_interval": 1,
"detection_threshold": 0.5,
"images": [
"262:218",
0
],
"max_objects": 4,
"model": [
"262:243",
0
]
},
"_meta": {
"title": "Run SAM3 Video Track"
}
},
"262:245": {
"class_type": "SCAIL2ColoredMask",
"inputs": {
"driving_track_data": [
"262:244",
0
],
"object_indices": "",
"ref_track_data": [
"262:246",
0
],
"replacement_mode": [
"262:247",
0
],
"sort_by": "left_to_right"
},
"_meta": {
"title": "Create SCAIL-2 Colored Mask"
}
},
"262:246": {
"class_type": "SAM3_VideoTrack",
"inputs": {
"conditioning": [
"262:261",
0
],
"detect_interval": 1,
"detection_threshold": 0.5,
"images": [
"30",
0
],
"max_objects": 4,
"model": [
"262:243",
0
]
},
"_meta": {
"title": "Run SAM3 Video Track"
}
},
"262:247": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": True
},
"_meta": {
"title": "Boolean (Replace Mode)"
}
},
"262:250": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"262:227",
1
],
"vae": [
"262:217",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"262:251": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": 5,
"image": [
"262:250",
0
],
"length": 4096
},
"_meta": {
"title": "Get Image from Batch"
}
},
"262:252": {
"class_type": "ColorTransfer",
"inputs": {
"image_ref": [
"262:253",
0
],
"image_target": [
"262:251",
0
],
"method": "reinhard_lab",
"source_stats": "per_frame",
"strength": 1
},
"_meta": {
"title": "Transfer Color"
}
},
"262:253": {
"class_type": "ImageFromBatch",
"inputs": {
"batch_index": -1,
"image": [
"213:6",
0
],
"length": 1
},
"_meta": {
"title": "Get Image from Batch"
}
},
"262:255": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": True
},
"_meta": {
"title": "Boolean (Enable Distill LoRA?)"
}
},
"262:256": {
"class_type": "CLIPVisionEncode",
"inputs": {
"clip_vision": [
"262:222",
0
],
"crop": "none",
"image": [
"30",
0
]
},
"_meta": {
"title": "CLIP Vision Encode"
}
},
"262:257": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"262:221",
0
],
"text": ""
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"262:258": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"262:221",
0
],
"text": "An elderly East Asian man with sleek silver-white hair tucked behind his ears and a calm, dignified face dances with lively rhythm in a bright, sunlit dance studio with tall steel-framed windows and a pale maple floor. He wears an avant-garde color-blocked outfit: an open cobalt-blue and emerald-green wool jacket over a saffron-yellow silk mock-neck tunic, vivid magenta tailored straight-leg trousers with crisp creases and polished oxblood-red leather shoes. The jacket swings open as he turns, the trousers fold naturally at the knees and his shoes squeak lightly on the floor. Soft morning daylight falls through the windows, casting long shadows on the boards. Realistic skin texture, natural fabric movement, consistent clothing and identity throughout, steady lighting, sharp detail and smooth, natural motion."
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"262:259": {
"class_type": "WanSCAILToVideo",
"inputs": {
"batch_size": 1,
"clip_vision_output": [
"262:256",
0
],
"height": [
"262:220",
1
],
"length": [
"262:220",
2
],
"negative": [
"262:257",
0
],
"pose_end": 1,
"pose_start": 0,
"pose_strength": 1,
"pose_video": [
"262:218",
0
],
"pose_video_mask": [
"262:245",
0
],
"positive": [
"262:258",
0
],
"previous_frame_count": 5,
"previous_frames": [
"213:6",
0
],
"reference_image": [
"30",
0
],
"reference_image_mask": [
"262:245",
1
],
"replacement_mode": [
"262:247",
0
],
"vae": [
"262:217",
0
],
"video_frame_offset": 0,
"width": [
"262:220",
0
]
},
"_meta": {
"title": "WanSCAILToVideo"
}
},
"262:261": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"262:243",
1
],
"text": "human"
},
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"262:319": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "wan2.1_SCAIL_2_DPO_lora_bf16.safetensors",
"model": [
"262:223",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"262:901": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 81
},
"_meta": {
"title": "Int (segment length)"
}
},
"262:902": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 5
},
"_meta": {
"title": "Int (previous frame count)"
}
}
})
workflow.set_input("30", "image", client.assets.from_url("https://comfy.org/catalog-media/900853f0-2a62-4dcf-8371-139981ed137a/1d1c8eea-1e24-4669-b06a-ef5b581cd831"))
workflow.set_input("155", "file", client.assets.from_url("https://comfy.org/catalog-media/c8bf6276-8322-4db8-9783-49de11409548/83cee33c-ae9f-445b-9334-b42a9e008f61"))
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)
for output in job.get_outputs("271"):
output.to_file(output.name)Try an example
About this workflow
Upload 1 reference character image and 1 driving video. Generate an animated video of the character matching the driving video's motion. Ideal for character animation, in-video character replacement, and motion transfer projects.