Agent skill · genmedia-labs

image-edit

Edit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/edit` through the local RunComfy CLI. Triggers on "image edit", "edit image", "image-to-image", "i2i", "swap background", "remove object", "rewrite headline", or any explicit ask to edit a single or batch of images.

What it needs

About 7k tokens when loaded.

What this skill does

Image Edit — Pro Pack on RunComfy runcomfy.com · Nano Banana Edit · GPT Image 2 Edit · Flux Kontext · Z-Image Inpaint · GitHub Image edit, intent-routed. This skill doesn't lock you to one model — it picks the right edit model in the RunComfy catalog based on what the user actually wants: batch identity-preservation, multilingual text rewrite, single-shot precise edit, or mask-driven region replacement. Pick the right model for the user's intent User intent Model Why --- --- --- Batch edit 1–20 images consistently (SKU gallery, A/B variants) Nano Banana Edit Up to 20 input images per call; locked aspect/resolution for series Swap background, preserve subject identity Nano Banana Edit Strong identity preservation under "keep X unchanged" prompts Localized object removal / addition with spatial language ("the left object", "upper-right corner") Nano Banana Edit Honors directional spatial scope Multilingual / non-Latin in-image text rewrite (Japanese kana, Cyrillic, Arabic) GPT Image 2 Edit Strongest in class for multilingual typography Multi-reference composition (subject from img1, scene from img2, palette from img3) GPT Image 2 Edit Numbered refs route cues correctly Layout-precise repositioning ("move headline from top-right to bottom-center") GPT Image 2 Edit Directional language honored at layout level Identity preservation across translated headline variants GPT Image 2 Edit Same source asset → many language variants, identity stable Single-shot precise local edit ("she's now holding an orange umbrella") Flux Kontext Pro Single-ref single-instruction, high-fidelity preservation Mask-driven object removal (cables, watermarks, distractions) Z-Image Turbo Inpaint Mask-required, strength-tunable, edge-consistent Mask-driven region replacement (full background swap with mask) Z-Image Turbo Inpaint High strength + clean mask = clean replacement Default if unspecified Nano Banana Edit Most flexible, supports both single and batch The agent reads this table, classifies …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills genmedia-labs/image-edit

View the source on GitHub

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