工作流 /
视频工具 /
视频局部重绘: VOID
视频局部重绘: VOID
Video Inpainting: VOID
上传视频并遮罩您要移除的对象。生成一个干净的视频，其中该对象及其物理交互已被删除。
视频工具
6 个节点 1 个输入 156 次使用 ComfyUI ≥ 0.21.0 ComfyUI 115 KB
需要的权重
这个工作流引用了 6 个权重文件，其中 6 个能在本站模型库里找到。
cogvideox_vae.safetensors
在模型库查看
raft_large_C_T_SKHT_V2-ff5fadd5.safetensors
在模型库查看
sam3.1_multiplex_fp16.safetensors
在模型库查看
t5xxl_fp16.safetensors
在模型库查看
void_pass1.safetensors
在模型库查看
void_pass2.safetensors
在模型库查看
节点构成
SaveVideo
× 2
MarkdownNote
× 2
LoadVideo
× 1
c3157b75-484a-459e-b8de-57823bef5130
× 1
官方标注的模型
VOID
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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150 "Related PR: [#13403](https://github.com/Comfy-Org/ComfyUI/pull/13403)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/sam3.1](https://huggingface.co/Comfy-Org/sam3.1)\n- [Hugging Face:Comfy-Org/void-model](https://huggingface.co/Comfy-Org/void-model)\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/void-model](https://modelscope.cn/models/Comfy-Org/void-model)\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**text_encoders**\n\n- [t5xxl_fp16.safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors) (9.12 GB)\n\n**vae**\n\n- [cogvideox_vae.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/vae/cogvideox_vae.safetensors) (411.2 MB)\n\n**optical_flow**\n\n- [raft_large_C_T_SKHT_V2-ff5fadd5.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/optical_flow/raft_large_C_T_SKHT_V2-ff5fadd5.safetensors) (20.1 MB)\n\n**diffusion_models**\n\n- [void_pass2.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass2.safetensors) (10.38 GB)\n- [void_pass1.safetensors](https://huggingface.co/Comfy-Org/void-model/resolve/main/diffusion_models/void_pass1.safetensors) (10.38 GB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 checkpoints/\n│ │ └── sam3.1_multiplex_fp16.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── t5xxl_fp16.safetensors\n│ ├── 📂 vae/\n│ │ └── cogvideox_vae.safetensors\n│ ├── 📂 optical_flow/\n│ │ └── raft_large_C_T_SKHT_V2-ff5fadd5.safetensors\n│ └── 📂 diffusion_models/\n│ ├── void_pass2.safetensors\n│ └── void_pass1.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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176 "Project: [Netflix/void-model](https://github.com/Netflix/void-model)\n\n## What this stack is good at\n\nSegmentation (**SAM3** from your text cue) defines **what** to erase; the **two-pass** video model **inpaints holes over time**. Strengths:\n\n- **Object removal**, not single-frame patching: coherent motion and lighting across the clip.\n- **Interaction-aware seams**: occluded pixels are filled as if the object (and often its immediate influence on nearby stuff) **was never there**, so shadows, overlaps, or simple causal cues can look **more plausible** than a naive erase.\n- **Pass 2** refines temporal stability (fewer jitters/flashes) versus **Pass 1** alone — useful on longer cuts or textured backgrounds.\n\nLimits: unclear masks, chaotic motion, or targets that dominate the frame still fail; prompting cannot fix fundamentally wrong segmentation.\n\n## Inputs\n\n- **Source video** — From ComfyUI `input` (`Load Video`).\n- **Positive prompt (inpaint fill)** — The **filled** scene after removal (what remains / how it looks and moves).\n- **Negative prompt** — Optional anti-artifact list; can be empty.\n- **SAM3 object prompt** — Short label for **what** to mask out.\n\n## Prompt writing\n\n**Positive (inpaint)** — Describe the **result**, not “remove X”. Example: `empty kitchen counter, daylight, tiles visible`.\n\n**SAM3 object** — Short referring phrase: `person in blue jacket`, `red cup on table`.\n\n| Field | Role |\n|--------|------|\n| SAM3 | **What** is removed |\n| Positive | **How** the hole is filled in time |\n\nUse **Negative** only when you see repeating defects (watermark, blur, extra limbs, etc.)."
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