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by actionow-ai
Native-feeling image generation for Claude Code, powered by your local Codex (ChatGPT) image_gen. No API key needed.
# Add to your Claude Code skills
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c2c_img is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by actionow-ai. Native-feeling image generation for Claude Code, powered by your local Codex (ChatGPT) image_gen. No API key needed. It has 56 GitHub stars.
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Clone the repository with "git clone https://github.com/actionow-ai/c2c_img" and add it to your Claude Code skills directory (see the Installation section above).
c2c_img is primarily written in Python. It is open-source under actionow-ai on GitHub, so you can review or fork the full source.
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⚠️ Third-Party Software Notice
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English | 简体中文
If you have both Claude Code and Codex (ChatGPT), this plugin lets Claude generate and edit images with Codex's built-in image_gen tool. It runs on your ChatGPT login, so you don't need an OPENAI_API_KEY.
It is designed to feel native. You say "draw me a…", and a moment later the image appears in the conversation. Say "make it brighter" or "now a portrait version", and Claude edits the last image. Claude writes the prompt, checks the result itself, and never shows you the plumbing.
| Chinese poster, text rendered exactly | Edit: change dawn to an aurora night, and nothing else | Transparent sticker (-t -s 512x512 -f webp) |
|---|---|---|
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Requirements:
npm i -g @openai/codex, signed in with codex login using a ChatGPT account.As a Claude Code plugin (recommended):
/plugin marketplace add actionow-ai/c2c_img
/plugin install c2c-img@c2c-img
As a plain skill, for Claude Code and other agents that support Agent Skills:
npx skills add actionow-ai/c2c_img -g -a claude-code
Or copy skills/c2c-img/ into ~/.claude/skills/.
Check your setup (this generates nothing):
python3 skills/c2c-img/scripts/c2c_img.py --doctor
pip install pillow is optional. It adds webp output, and on Linux and Windows it also adds --size and jpg support. On macOS, the built-in sips already handles resizing, png and jpg.
Just ask: "Draw a cozy isometric reading nook with a sleeping cat", "make a 1200×630 OG image for this blog post", "remove the background from ./logo.png", or "做一张中秋海报". Claude picks sensible defaults (aspect ratio, style, where to save), generates the image, checks it, and shows it to you.
Under the hood, Claude calls the script:
| Option | What it does |
|---|---|
"prompt" |
Text-to-image. Codex passes the prompt through verbatim |
-i IMG (repeatable) |
Edit an image, or use it as a reference (Image 1, Image 2, …) |
-t |
Transparent background. The output has real alpha |
-s 1200x628 |
Exact size: generates at the nearest aspect ratio, then scales and center-crops |
-f png|jpg|webp |
Output format. It can also be inferred from the -o extension |
-n 3 / --batch - |
Variants of one prompt, or several different jobs from JSONL, run in parallel |
--doctor / --stop-daemon |
Check the setup, or stop the background helper |
Without -o, images are saved to ~/Pictures/c2c_img/<time>-<slug>.png. Existing files are never overwritten: a new version is saved as -v2, -v3, and so on.
Claude ─Bash─▶ c2c_img.py ─▶ 127.0.0.1 + token ─▶ daemon ─▶ codex app-server (kept warm)
└─ fallback ─▶ codex exec --ephemeral (lean mode), one process per image
codex app-server warm between calls, cutting the median overhead per call from 13.9 s to 6.6 s. It reads the saved path directly from imageGeneration events. It gets structured errors: quota with its reset time, capacity (it retries on another model), and refusals. It exits after 15 idle minutes, and it's replaced automatically when Codex or the script is upgraded.codex exec with the user's config ignored and 17 unneeded tools disabled, including shell. It stops Codex as soon as the image file is complete.~/.codex/generated_images.A typical new image takes about 40–50 s. Most of that is the image model itself, and it varies with server load.
macOS has been tested with a real Codex install. Linux and Windows are supported through process groups and taskkill, cross-platform file locks, and UTF-8 stdio. CI covers macOS, Ubuntu and Windows with Python 3.9 and 3.12.
python3 tests/test_offline.py
python3 tests/test_engines.py
test_offline.py: unit tests and post-processing.test_engines.py: end-to-end tests of both engines against tests/fake_codex.py. No Codex login or quota is needed.exec --json events, and the generated_images/ layout. The two engines back each other up. After a Codex upgrade, run --doctor.-s post-processes to exact pixels.MIT © 2026 actionow