๐ŸŽฏ

image-outpainting

๐ŸŽฏSkill

from prime-skills/runcomfy-agent-skills

Installation

Vibe Index InstallInstalls to .claude/skills/
$npx vibeindex add prime-skills/runcomfy-agent-skills --skill image-outpainting
skills.sh Installโš  Installs to .agents/skills/
$npx skills add prime-skills/runcomfy-agent-skills --skill image-outpainting
Manual InstallCopy SKILL.md content and save to the path below
path
~/.claude/skills/image-outpainting/SKILL.md
VibeIndex|
What it does
|

A Claude Code skill for extending images beyond their original canvas via the RunComfy CLI. Supports uncropping, aspect ratio changes (square to 16:9, portrait to landscape), and environment continuation by routing across Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro, and brand-specific edit endpoints.

Overview

Image Outpainting is a Claude Code skill that extends a still image beyond its original canvas using the RunComfy CLI. It handles common use cases like uncropping photos, changing aspect ratios (square to 16:9, portrait to landscape), and filling in what the camera did not capture while preserving the original content. The skill routes across multiple model endpoints based on intent: Nano Banana 2 Edit for prompt-shaped spatial extensions, GPT Image 2 Edit for composite outpainting with reference-style matching, FLUX Kontext Pro for single-shot maximum-preservation edits, and brand-specific endpoints like Seedream, Dreamina, and FLUX 2 for style-consistent continuation.

Key Features

  • Prompt-driven canvas extension with Nano Banana 2 Edit as the default, honoring spatial language like "extend left and right by 30%" or "add sky above"
  • Aspect ratio conversion with explicit aspect_ratio parameter support (1:1 to 16:9, 1:1 to 9:16 for Reels, portrait to 21:9 for banners)
  • Reference-style matching via GPT Image 2 Edit when outpainting needs to match a style from up to 10 reference images
  • Maximum preservation mode with FLUX Kontext Pro for single-shot outpaints that keep the original content pixel-perfect
  • Multi-step chaining by using each outpaint result as input for the next pass, extending 30-50% per step to avoid boundary artifacts
  • ComfyUI workflow fallback pointing to dedicated outpainting node graphs for pixel-precise seam handling when CLI endpoints are not enough

Who is this for?

  • Photographers and designers who need to change image aspect ratios for different social media platforms without losing the original composition
  • E-commerce teams preparing product shots that need extended backgrounds for catalog banners and hero images
  • Digital artists and retouchers restoring cropped photos or expanding compositions with environment-matched continuation
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Same repository

prime-skills/runcomfy-agent-skills(25 items)

image-outpainting

SKILL.md

345,060Installs
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AddedAug 11, 2026

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