cooksleep/gpt_image_playground

基于 OpenAI gpt-image-2.5 API 的图片生成与编辑工具

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Summary Information

Updated 42 minutes ago
Added to GitGenius on September 18th, 2026
Created on April 23rd, 2026
Open Issues & Pull Requests: 9 (+0)
GitHub issues: Enabled
Number of forks: 943
Total Stargazers: 3,750 (+1)
Total Subscribers: 6 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.3 hours
Mean response time: 3.6 hours
90th percentile: 10.7 hours
Tracked items: 103

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 93% of issues opened in the past year have since been closed. Three people close 89% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 7
New in 7 days: 3
Closed in 7 days: 2
Avg open age: 24 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 3
Closed in 7 days: 2
Comments in 7 days: 5
Events in 7 days: 7

Top labels

  • enhancement (32)
  • bug (17)

Detailed Description

GPT Image Playground is a web-based image generation and editing tool that leverages the OpenAI image API.

The tool addresses the need for a streamlined interface to generate and edit images using AI models. It works by connecting to multiple image generation backends including OpenAI, OpenAI-compatible services, sub2api for asynchronous operations, fal.ai, and custom HTTP providers that users can configure themselves. The interface supports text-to-image generation, reference-based editing with masks, and maintains all data locally in the browser rather than on remote servers.

Developers should choose this tool if they want a polished web interface for image generation without server-side storage concerns. It suits projects where users need quick access to multiple image generation providers through a single UI, or where local data retention is a requirement. The project is particularly valuable for those running non-HTTPS local or internal APIs, as it can be self-hosted or deployed via GitHub Pages to work around browser security restrictions that affect cloud-hosted versions.

The codebase is written in TypeScript and built with React and Vite, using Tailwind CSS for styling. Development appears focused on maintaining a clean, functional interface with support for diverse backend providers rather than expanding into unrelated features.