konglingbukong

GPT Image Studio — AI skill for Claude Code

AI community

Let your AI agent generate images with OpenAI gpt-image-2.5 — live web gallery, cost tracking, MCP, 5 languages.

How to install GPT Image Studio

This entry records only its repository, not the path inside it, so there is no exact command to give. Open konglingbukong/gpt-image-studio and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What GPT Image Studio does

Let your AI agent generate images with OpenAI gpt-image-2.5 — live web gallery, cost tracking, MCP, 5 languages.

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README

GPT Image Studio

**English** · [中文](README.zh-CN.md) · [日本語](README.ja.md) · [한국어](README.ko.md) · [Русский](README.ru.md)

**A workbench for OpenAI's `gpt-image-2.5` using your own API key. Ask your AI agent for an image in a single sentence, then watch it appear in a local web gallery with its cost and your remaining balance.**

Features

Generate from any AI agent. Ask Claude Code, Codex or another agent that can run commands for "a 2K 16:9 image of …". It calls the official API, saves the file locally and tells you what the image cost.
Live web gallery. While an agent is generating, a "generating…" card with a timer appears on the page, and the result replaces it when it's ready. You can also generate directly from the page.
All the parameters. gpt-image-2.5 sunburst / flare; 1K / 2K / 4K at any aspect ratio, up to 3840×2160; quality from low to xhigh / max; up to 16 reference images; mask inpainting.
Cost tracking. The cost of every image is calculated from the token usage OpenAI actually returns. Spending is totalled for today, this month and overall. Calibrate your balance once and the remaining amount is tracked for you (OpenAI has no balance API, so this is the most accurate method available).
Gallery tools. Favorites, filters by status (completed / generating / failed), search, one-click reuse of settings, and "use as reference" to keep iterating on a result. Deleted items go to a .trash folder instead of being erased.
Use it anywhere. The same page can be hosted on GitHub Pages. On a computer that runs the local service it connects to that service automatically; anywhere else it runs in browser mode, where your key and images stay in that browser.
5 languages. English, 中文, 日本語, 한국어 and Русский. The language follows your browser and can be switched in the page.
Zero dependencies. You only need Python 3.9 or later. Nothing to pip install.