Skill 詳細

video-inpainting

`runcomfy` CLI経由でRunComfy上の動画フレーム全体にわたる領域編集を行います — 多数のフレームに現れるオブジェクトの削除、ワイヤーやウォーターマークの除去、一致するモーションでの領域の置き換え。Wan 2-7 edit-video(デフォルト、空間言語によるプロンプト駆動の領域編集)、Lucy Edit…をルーティングします。

一致した理由: AI動画の領域編集。動画編集の側面に直接関連。

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SKILL.md

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---
name: video-inpainting
allowed-tools: Bash(runcomfy *)
displayName: "Video Inpainting"
description: >
  Region edits across video frames on RunComfy via the `runcomfy`
  CLI — remove an object that appears across many frames, clean
  up wires or watermarks, replace a region with matching motion.
  Routes across Wan 2-7 edit-video (default, prompt-driven region
  edits with spatial language), Lucy Edit Restyle (identity-stable
  region-aware restyle), and Seedream 4-0 edit-sequential (when
  treating the clip as a frame stack). Picks the right route based
  on whether the change is prose-driven, identity-locked, or needs
  frame-by-frame still inpaint chained into a video. Triggers on
  "video inpaint", "video inpainting", "remove from video", "mask
  region in video", "clean up video", "remove object from clip",
  "video patch", "frame-by-frame edit", "remove watermark from
  video", "remove passing person", or any explicit ask to edit a
  region across video frames.
homepage: https://www.runcomfy.com
license: MIT
---

# Video Inpainting

Region edits across video frames — remove an object that appears across many frames, clean up wires or watermarks, replace a region with motion that matches the rest of the clip. This skill routes across the prompt-driven video edit endpoints in the RunComfy catalog and gives the agent a clear default for each intent.

[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-inpainting) · [Wan 2-7 edit-video](https://www.runcomfy.com/models/wan-ai/wan-2-7/edit?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-inpainting) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-inpainting)

## Powered by the RunComfy CLI

```bash
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Edit a video (closest CLI-reachable approach)
runcomfy run wan-ai/wan-2-7/edit-video \
  --input '{"video_url": "...", "prompt": "..."}' \
  --output-dir ./out
```

CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/runcomfy-cli) skill.

---

## Pick the right model

Routes via prompt-driven region edits — the model resolves the targeted region from spatial language across all frames.

**Wan 2-7 Edit-Video** — `wan-ai/wan-2-7/edit-video` *(default)*
> Wan 2-7's video edit endpoint. Drive frame-by-frame edits via prompt + the source video.
> Pick for: "remove the watermark in the bottom-right", "replace the sky with a sunset" — prompt-driven region intent without an explicit mask.
> Avoid for: precise pixel-level region targeting — use a ComfyUI workflow.

**Lucy Edit Restyle** — `decart/lucy-edit/restyle`
> Identity-stable video restyle that handles region-aware edits.
> Pick for: lightweight outfit / object swap that needs to track across frames.
> Avoid for: surgical mask-driven inpaint — ComfyUI workflow.

**Seedream 4-0 Edit-Sequential** — [`bytedance/seedream-4-0/edit-sequential`](https://www.runcomfy.com/models/bytedance/seedream-4-0/edit-sequential?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-inpainting)
> Sequential still edits — feed a sequence of frames as inputs, apply the same edit instruction across each, useful if you're treating the video as a frame stack.
> Pick for: short, low-frame-rate sequences where each frame can be edited independently and a separate tool re-encodes to video.
> Avoid for: long clips, motion-coherent fills — temporal consistency degrades.

---

## Route 1: Wan 2-7 Edit-Video — closest CLI path

**Model**: `wan-ai/wan-2-7/edit-video`
**Catalog**: [Wan 2-7 edit-video](https://www.runcomfy.com/models/wan-ai/wan-2-7/edit?utm_source=skills.sh&utm_medium=skill&utm_campaign=video-inpainting)

### Invoke

```bash
runcomfy run wan-ai/wan-2-7/edit-video \
  --input '{
    "video_ur
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