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Wan2.1 VACE 局部重绘
Wan2.1 VACE 局部重绘
Wan2.1 VACE Inpainting
在保留周围内容的同时编辑视频中的特定区域。非常适合对象移除或替换。
视频
6 个节点 2 个输入 188 次使用 ComfyUI ≥ 0.20.0 ComfyUI 109 KB
需要的权重
这个工作流引用了 5 个权重文件，其中 5 个能在本站模型库里找到。
Wan21_CausVid_14B_T2V_lora_rank32.safetensors
在模型库查看
sam3.1_multiplex_fp16.safetensors
在模型库查看
umt5_xxl_fp8_e4m3fn_scaled.safetensors
在模型库查看
wan2.1_vace_14B_fp16.safetensors
在模型库查看
wan_2.1_vae.safetensors
在模型库查看
节点构成
MarkdownNote
× 2
LoadVideo
× 1
LoadImage
× 1
SaveVideo
× 1
bd7f73a0-ec67-4f46-8671-17088d8e31b7
× 1
官方标注的模型
Wan2.1Wan
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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374 "## Wan2.1 VACE — Video Inpainting Workflow\n\n### What this model can do\n\n**[Wan2.1-VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B)** is an all-in-one video creation and editing model ([VACE project page](https://ali-vilab.github.io/VACE-Page/)). This workflow uses its **masked video-to-video (MV2V) / inpainting** capability:\n\n- Edit regions inside a video defined by a **mask** (replace or regenerate masked areas)\n- Optionally use a **reference image** for appearance or subject consistency\n- Control output with a **text prompt** (what should appear in the edited region)\n\nRelated VACE modes (not all wired in this template): reference-to-video, swap/move/expand objects, video rerender, and more.\n\n---\n\n### Main graph\n\n1. **Load Video** — input clip to edit \n2. **Load Image** *(optional)* — reference image \n3. **Video Inpainting (Wan2.1 VACE)** — open the subgraph for all controls \n4. **Save Video** — output\n\n---\n\n### Subgraph inputs (display order)\n\n| Input | Purpose |\n|-------|--------|\n| **prompt** | VACE generation prompt — describes the desired result in the masked area |\n| **width** / **height** | Output resolution (area). VACE-14B supports **480P** and **720P**; match your GPU and quality needs |\n| **frame_counts** | **Total frames to generate** (latent length). See below |\n| **seed** | Random seed for reproducibility |\n| **wan_vace_model** | VACE diffusion checkpoint (e.g. `wan2.1_vace_14B_fp16`) |\n| **clip_model** | Text encoder for VACE (e.g. `umt5_xxl_*`) |\n| **vae_model** | Wan VAE (`wan_2.1_vae.safetensors`) |\n| **enable_turbo_mode** | Faster sampling preset (Lightning LoRA path) |\n| **lightning_lora** | LoRA used when turbo mode is on |\n| **sam3_mask_object** | SAM3 text prompt — what to segment (e.g. `person`, `dog`). **Not** the VACE negative prompt |\n| **mask_expand** | Pixels to grow the SAM3 mask (softer edges, fewer seams) |\n| **sam3_model** | SAM3 checkpoint for mask creation |\n\nDraw or refine masks inside the subgraph (*Create Video Mask* group). VACE negative prompt is fixed inside the subgraph.\n\n---\n\n### frame_counts (important)\n\nVACE is trained and evaluated on **short clips** (~**81 frames** at 16 fps ≈ 5 s). It **does not** reliably handle very long videos in one pass.\n\n- This workflow defaults **frame_counts = 81** as a safe total frame count.\n- If your source video is longer, **do not** only raise `frame_counts` very high — quality, memory, and stability usually suffer.\n\n**Recommended for long videos:** duplicate the **same subgraph** (or run the workflow in chunks), process **~81 frames per segment**, then concatenate segments in your editor or with a separate merge step. Keep prompts and seeds consistent across chunks if you need continuity."
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398 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/sam3.1](https://huggingface.co/Comfy-Org/sam3.1)\n- [Hugging Face:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/sam3.1](https://modelscope.cn/models/Comfy-Org/sam3.1)\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n**checkpoints**\n\n- [sam3.1_multiplex_fp16.safetensors](https://huggingface.co/Comfy-Org/sam3.1/resolve/main/checkpoints/sam3.1_multiplex_fp16.safetensors) (1.63 GB)\n\n**loras**\n\n- [Wan21_CausVid_14B_T2V_lora_rank32.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_CausVid_14B_T2V_lora_rank32.safetensors) (304.3 MB)\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true) (6.27 GB)\n\n**vae**\n\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors) (242.1 MB)\n\n**diffusion_models**\n\n- [wan2.1_vace_14B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_vace_14B_fp16.safetensors) (32.29 GB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 checkpoints/\n│ │ └── sam3.1_multiplex_fp16.safetensors\n│ ├── 📂 loras/\n│ │ └── Wan21_CausVid_14B_T2V_lora_rank32.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 vae/\n│ │ └── wan_2.1_vae.safetensors\n│ └── 📂 diffusion_models/\n│ └── wan2.1_vace_14B_fp16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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