Image Outpainting
Extend a still beyond its canvas β uncrop, change aspect ratio on RunComfy
- What
- Extend a still beyond its canvas β uncrop, change aspect ratio on RunComfy
- Cost
- Free
- Needs
- a RunComfy account and the RunComfy CLI (npm i -g @runcomfy/cli); generation calls are billed against API credits (paid service)
- Install
- Copy the installer prompt below into your Muse β your agent does the rest.
π³ Curated by Skill Harbor β image outpainting on RunComfy via the `runcomfy` CLI: extend a still beyond its original canvas, fill in what the camera didn't capture, change aspect ratio (square β 16:9, portrait β landscape) while preserving the original content. Routes across Nano Banana 2 Edit (default, spatial-language driven), GPT Image 2 Edit (multi-reference with reference-style matching), FLUX Kontext Pro (single-shot maximum preservation), and the brand edit endpoints (Seedream / Dreamina / Qwen / FLUX 2) β picking the right route for prose-driven, reference-driven, or brand-locked extension. Distinct from its sibling prime-skills-image-inpainting: outpainting extends *beyond* the frame; inpainting edits *inside* it. Requires a RunComfy account, the RunComfy CLI (`npm i -g @runcomfy/cli`), and generation calls are billed against API credits β a paid service. Honest notes: the source docs use RunComfy's "Pro Pack" marketing voice and carry tracking links; the technical content (endpoints, schemas, examples) is real and documented. By @prime-skills, listed here with credit to its creator. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: a RunComfy account and the RunComfy CLI (npm i -g @runcomfy/cli); generation calls are billed against API credits (paid service) Install "Image Outpainting" for me. Extend a still beyond its canvas β uncrop, change aspect ratio on RunComfy Repository: https://github.com/prime-skills/runcomfy-agent-skills/blob/main/image-outpainting/SKILL.md 1. Fetch the SKILL.md file for the prime-skills-image-outpainting skill from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "prime-skills-image-outpainting". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. any accounts, API keys, or CLI tools mentioned in the prerequisites above). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. Never ask me to paste secrets in chat β credentials go through the secure vault or environment variables. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you β no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the sellerβs own page, usually Stripe.
What does the β next to a creatorβs name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself β always check a build before installing it.