Video Outpainting — Pro Pack on RunComfy

📐 Video Outpainting — Pro Pack on RunComfy

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=

# 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:

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

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.

See also

• wan-models collection
• All video models — every video endpoint with its API tab
• docs.runcomfy.com/cli — CLI install, authentication, troubleshooting