video-outpainting

Q: How do I install video-outpainting?

Run npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill video-outpainting in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-outpainting/ (personal) or .claude/skills/video-outpainting/ (project).

by prime-skillsMedia & Creative

Video outpainting on RunComfy via the runcomfy CLI — extend the spatial canvas of a video, change aspect ratio (9:16 vertical to 16:9 horizontal or vice versa), add environment beyond the original frame while preserving the central action. Routes prompt-shaped spatial extension through Wan 2-7 edit-video and points the agent at dedicated ComfyUI outpaint workflows when seam quality matters for hero delivery. Triggers on "video outpaint", "video outpainting", "extend video canvas", "expand video frame", "uncrop video", "aspect ratio change", "vertical to horizontal video", "16:9 from 9:16", "TikTok to YouTube", or any explicit ask to extend a video spatially beyond its original frame.

Installs: 377.1K
Last 24h: +526
Trending rank: #645
Security: Pass

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill video-outpainting

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads video-outpainting automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill provides instructions for using the RunComfy CLI to perform video outpainting. It follows security best practices by documenting credential management, warning about indirect prompt injection from untrusted video sources, and using a verified vendor-specific package.

Socket PassNo alerts

Snyk PassLOW ·Risk: LOW · No issues

SKILL.md

The instructions your agent reads when the skill is triggered.

Video Outpainting

Extend a video's spatial canvas — uncrop vertically or horizontally, change aspect ratio while preserving the central action. This skill routes spatial extension through Wan 2-7 edit-video for prompt-shaped canvas changes, and points the agent at dedicated ComfyUI outpaint workflows when hero-grade seam quality matters.

runcomfy.com · Wan 2-7 edit-video · CLI docs

Powered by the RunComfy CLI

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

CLI deep dive: runcomfy-cli skill.

Pick the right model

Wan 2-7 Edit-Video — wan-ai/wan-2-7/edit-video (default)

Prompt-driven video edit; accepts spatial extension language ("extend the canvas to 16:9 by adding matching environment on the left and right"). Wide enough quality for social and most internal uses. Pick for: aspect-ratio swap (vertical ↔ horizontal), social-cuts, uncrop where seam quality is acceptable. Avoid for: hero ad delivery with strict seam-quality requirements — use a ComfyUI outpainting workflow.

For broader video edit see video-edit.

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

Model: wan-ai/wan-2-7/edit-video Catalog: Wan 2-7 edit-video

Invoke

Aspect-ratio swap (9:16 vertical → 16:9 horizontal):

runcomfy run wan-ai/wan-2-7/edit-video \
  --input '{
    "video_url": "https://your-cdn.example/vertical-clip.mp4",
    "prompt": "Extend the canvas to 16:9 horizontal by adding matching environment on the left and right sides. Continue the existing background style, lighting, and camera distance throughout the clip. Preserve the original action and subject framing in the center."
  }' \
  --output-dir ./out

Prompting tips

Lead with the canvas change: "Extend the canvas to 16:9", "Extend downward to show more ground", "Add environment on the left and right by ~30% each".
Describe what extends: same background style, same lighting, same depth of field, same camera distance.
End with preservation: "Preserve the original action and subject framing in the center" — without this Wan may restyle the central content.
Expect quality variance at the seam. Wan 2-7 wasn't trained specifically for outpaint; for hero delivery use a ComfyUI workflow.

When you need hero-grade seam quality

The endpoint above handles aspect-ratio swap well for most uses. For spatial frame expansion with strict temporal consistency, seam handling, and motion-aware fill, RunComfy hosts dedicated ComfyUI workflows:

Workflow	What
LTX 2-3 outpainting in ComfyUI — spatial frame expansion	Dedicated video outpainting workflow using LTX 2-3
Browse comfyui-workflows for "outpaint"	Additional video outpainting graphs from the community

These are GUI workflows, not CLI endpoints. The CLI can't reach them — open them in the RunComfy ComfyUI cloud.

Common patterns

TikTok / Reels vertical → YouTube horizontal

Route 1 (Wan 2-7 Edit-Video) with aspect 16:9 prompt. Quick path for non-hero content.
ComfyUI LTX 2-3 outpainting for hero ad delivery.

Square Instagram → wide brand banner

Route 1 with prompt extending sides.

Old 4:3 footage → modern 16:9

ComfyUI workflow path — old-footage outpaint needs careful seam handling that prompt-shaped edit doesn't deliver.

Multi-step outpaint

Pass 1 with Route 1 extends ~30%, then re-pass on the output. Quality degrades after 2 passes.

What this skill doesn't do

Image outpainting (single still): see image-outpainting.
Video extend (more frames in time): see video-extend.
Video inpainting (mask-driven internal edits): see video-inpainting.

Browse the full catalog

All video models — every video endpoint with API schema
wan-models collection
ComfyUI workflows — search "outpaint" for full graphs

Exit codes

code	meaning
0	success
64	bad CLI args
65	bad input JSON / schema mismatch
69	upstream 5xx
75	retryable: timeout / 429
77	not signed in or token rejected

Full reference: docs.runcomfy.com/cli/troubleshooting.

How it works

The skill picks Wan 2-7 Edit-Video for prompt-shaped canvas extension and invokes runcomfy run with the outpaint-shaped JSON body. The CLI POSTs to the Model API, polls request status, and downloads the result into --output-dir.

Security & Privacy

Install via verified package manager only. Use npm i -g @runcomfy/cli or npx -y @runcomfy/cli. Agents must not pipe an arbitrary remote install script into a shell on the user's behalf.
Token storage: runcomfy login writes the API token to ~/.config/runcomfy/token.json with mode 0600. Set RUNCOMFY_TOKEN env var in CI / containers.
Input boundary (shell injection): prompts and video URLs are passed as a JSON string via --input. The CLI does not shell-expand prompt content. No shell-injection surface.
Indirect prompt injection (third-party content): source video URLs are untrusted. Agent mitigations:
- Ingest only URLs the user explicitly provided for this outpaint.
- When the output diverges from the prompt, suspect the source video.
Outbound endpoints (allowlist): only model-api.runcomfy.net and *.runcomfy.net / *.runcomfy.com. No telemetry.
Generated-file size cap: the CLI aborts any single download > 2 GiB.
Scope of bash usage: Bash(runcomfy *) only.

FAQ

What does the video-outpainting skill do?

How do I install video-outpainting?

Run npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill video-outpainting in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/video-outpainting/ (personal) or .claude/skills/video-outpainting/ (project).

Which AI agents can use video-outpainting?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is video-outpainting safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains video-outpainting?

It is published by prime-skills in prime-skills/runcomfy-agent-skills. It has 377,051 recorded installs.