Gpt Image Edit
- 355k installs
- 31 repo stars
- Updated May 15, 2026
- agentspace-so/runcomfy-agent-skills
GPT Image Edit is a Claude skill that edits images with OpenAI's GPT Image 2 /edit endpoint through the local RunComfy CLI.
About
Edits images with OpenAI's GPT Image 2 /edit endpoint, run through the local RunComfy CLI. A developer uses it to localize an ad headline into another script, swap a CTA in place, or compose a subject into a new scene from multiple references. It documents the model's preservation-first prompting and routes to Nano Banana Edit or Flux Kontext when batch consistency or single-shot fidelity matters more.
- Edits images with OpenAI GPT Image 2 (/edit) via the RunComfy CLI
- Strongest sibling for multilingual in-image text rewriting and layout-precise edits
- Accepts up to 10 reference images with numbered multi-ref composition
Gpt Image Edit by the numbers
- 354,618 all-time installs (skills.sh)
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
gpt-image-edit capabilities & compatibility
Skill is MIT-licensed; needs a RunComfy account and GPU generation is billed by RunComfy.
- Capabilities
- image editing · ad localization · multi reference composition
- Works with
- openai
- Use cases
- image generation · translation
- Runs
- Local or remote
- Pricing
- Bring your own API key
What gpt-image-edit says it does
Strongest in its class at preserving identity through targeted edits and rewriting embedded text in any script
**Up to 10** publicly-fetchable HTTPS URLs. First is primary; rest are auxiliary.
For batch consistency across many SKU images, Nano Banana Edit (up to 20) is better.
npx skills add https://github.com/agentspace-so/runcomfy-agent-skills --skill gpt-image-editAdd your badge
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| Installs | 355k |
|---|---|
| repo stars | ★ 31 |
| Security audit | 2 / 3 scanners passed |
| Last updated | May 15, 2026 |
| Repository | agentspace-so/runcomfy-agent-skills ↗ |
How do you run GPT Image 2 edit on RunComfy?
Edit an image while rewriting embedded/multilingual text or composing from up to 10 reference images.
Who is it for?
Multilingual in-image text rewrites, layout-precise edits, and multi-reference composition
Skip if: Batch consistency across many SKU images (Nano Banana Edit wins) or hyperrealistic portraits
When should I use this skill?
User says 'gpt image edit', 'chatgpt image edit', or asks to edit with GPT Image 2
What you get
Edited image with layout or text changes, multi-reference inputs, and GPT Image 2 edit schema parameters.
- edited image file downloaded to output-dir
By the numbers
- up to 10 reference images per call
- size has 3 fixed values plus auto
Files
GPT Image Edit — Pro Pack on RunComfy
runcomfy.com · Edit endpoint · Text-to-image sibling · GitHub
OpenAI GPT Image 2 — `/edit` endpoint (ChatGPT Images 2.0 image-to-image) on the RunComfy Model API. Strongest in its class at preserving identity through targeted edits and rewriting embedded text in any script (Latin, kana, CJK, Cyrillic, Arabic).
npx skills add agentspace-so/runcomfy-skills --skill gpt-image-edit -gWhen to pick this model (vs siblings)
| You want | Use |
|---|---|
| Edit multilingual / embedded text in image | GPT Image Edit |
| Identity preservation through translated headline variants | GPT Image Edit |
| Layout-precise edit (move headline, swap CTA, etc.) | GPT Image Edit |
| Up to 10 reference images | GPT Image Edit |
| Batch up to 20 images consistently | Nano Banana Edit |
| Single-shot precise local edit, source-fidelity-first | Flux Kontext |
| Generate from scratch with GPT Image 2 | sibling `gpt-image-2` skill |
| Batch SKU galleries with stable identity | Nano Banana Edit |
Prerequisites
1. RunComfy CLI — npm i -g @runcomfy/cli 2. RunComfy account — runcomfy login opens a browser device-code flow. 3. CI / containers — set RUNCOMFY_TOKEN=<token> instead of runcomfy login.
Endpoints + input schema
openai/gpt-image-2/edit
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
prompt | string | yes | — | Edit instruction. Lead with preservation, end with the change. |
images | string[] | yes | — | Up to 10 publicly-fetchable HTTPS URLs. First is primary; rest are auxiliary. |
size | enum | no | auto | auto (preserve input), 1024_1024 (1:1), 1024_1536 (2:3 portrait), 1536_1024 (3:2 landscape). |
size=auto preserves the input ratio — strongly recommended unless the edit explicitly changes framing.
How to invoke
Single-ref preservation edit:
runcomfy run openai/gpt-image-2/edit \
--input '{
"prompt": "Keep the person'\''s face, pose, and brand mark unchanged. Replace the background with a soft warm-grey studio sweep and a gentle floor shadow.",
"images": ["https://.../portrait.jpg"]
}' \
--output-dir <absolute/path>Multilingual text rewrite (preserve everything except the headline):
runcomfy run openai/gpt-image-2/edit \
--input '{
"prompt": "Keep the photograph, layout, and brand mark exactly as in the input. Replace only the in-image headline. The new headline reads \"今日のおすすめ\" in bold Japanese kana, same position and font weight as before.",
"images": ["https://.../poster-en.jpg"]
}' \
--output-dir <absolute/path>**Mu
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Pick gpt-image-edit for multilingual in-image text and layout precision; pick nano-banana-edit for batch identity-preserving edits up to 20 images.
FAQ
How many reference images does gpt-image-edit support?
gpt-image-edit documents GPT Image 2 Edit multi-reference composition up to 10 images on runcomfy run openai/gpt-image-2/edit. The skill includes preservation language and multilingual in-image text patterns.
What endpoint does gpt-image-edit target on RunComfy?
gpt-image-edit targets OpenAI GPT Image 2, the /edit endpoint of ChatGPT Images 2.0, via runcomfy run openai/gpt-image-2/edit. Layout and typography precision schema are bundled for agent sessions.
Is Gpt Image Edit safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.