video-inpainting

Edit video frames by region to remove objects or artifacts via RunComfy CLI.

5|2|Updated May 18, 2026
One-click install
npx skills add https://github.com/doany-ai/skills --skill video-inpainting-doany-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-inpainting
Source: https://github.com/doany-ai/skills/tree/main/video-inpainting
Command: npx skills add https://github.com/doany-ai/skills --skill video-inpainting-doany-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Prompt-driven region edits across all frames using Wan 2-7 Edit-Video by default.
  • Supports alternative routes: Lucy Edit Restyle for identity-stable restyles, Seedream 4-0 Edit-Sequential for frame-by-frame sequential edits.
  • CLI-based workflow with guidance and examples; includes easy prompts for removing watermarks, objects, or background changes across clips.
  • Guides for mask-driven approaches via ComfyUI workflows if pixel-precise propagation is needed.

Quick Start

Install the RunComfy CLI and run a video edit with Wan 2-7 edit-video by providing a video URL and a region-based prompt.

Frequently Asked Questions about video-inpainting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove an object from a video across all frames?

Remove objects from a video by applying region-based inpainting across all frames using prompt-driven workflows. This skill routes your request through the RunComfy CLI to the Wan 2-7 edit-video endpoint, ensuring frame-by-frame consistency throughout the clip.

What is prompt-driven video inpainting?

Prompt-driven video inpainting is a technique that edits specific regions across video frames using text instructions. It removes artifacts or objects while maintaining frame consistency by automatically routing prompts through models like Wan 2-7 Edit-Video.

Can I use this for identity-stable video restyles?

Yes, you can achieve identity-stable video restyles by routing your prompt to the Lucy Edit Restyle model. This alternative path ensures the subject's identity remains stable while applying region-aware edits across the entire video sequence.

How do I perform sequential video edits frame-by-frame?

Perform sequential video edits frame-by-frame by routing your prompt to the Seedream 4-0 Edit-Sequential model. This approach processes the video sequence step-by-step to ensure precise frame-by-frame consistency during the region inpainting task.

When should I use mask-driven ComfyUI workflows for video editing?

Use mask-driven ComfyUI workflows for video editing when you need pixel-precise propagation for region edits. This approach is recommended over prompt-driven video inpainting when exact mask control is required to remove objects or artifacts across frames.

Do I need the RunComfy CLI to edit video regions?

Yes, you need the RunComfy CLI to edit video regions using this skill. The CLI posts your video URL and region-based prompt to the video edit endpoints, automatically selecting the appropriate model route and outputting the video to a specified directory.