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PainterLeaf

A free WebApp for Text2Image and Image2Text, supporting Multiple Models and both Chinese&English Prompt / 一个零成本的 AI 绘画 WebApp, 支持文生图, 图生文, 多模型, 中英双语提示词

Install / Use

npx skills add LeafYeeXYZ/PainterLeaf

Installs into whichever agent you are using.

README

Please deploy your own server cause mine exceeds the free plan limit. (2025.03.18 I've added an optional "server password" feature to prevent unauthorized access.)

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Painter Leaf

A image creator based on free Cloudflare AI and HuggingFace APIs. Features include:

  • Prompt-to-image: supports a variety of models (e.g. Flux.1StableDiffusion 3.5)
  • Image-to-Prompt: convert local images to prompts
  • AI Translation: use Chinese prompts in any model
  • Store: save your creations to IndexedDB

1 Deployment

1.1 Config Environment Variables

You can use either Fullstack or Client-Server mode and set the corresponding environment variables.

You may need to initialize Cloudflare AI llama3.2 11B vision model before using Image-to-Prompt feature. See here for more information.

1.1.1 Fullstack

Set following environment variables in .env file or Vercel.

| Key | Value | Required | | :---------------: | :-------------------------------: | :------: | | CF_USER_ID | Cloudflare user id | ✅ | | CF_AI_API_KEY | Cloudflare AI api key | ✅ | | HF_API_KEY | HuggingFace api key | | | SERVER_PASSWORD | Password for accessing the server | |

The free plan of Vercel has a limit of 10s for each request, which may cause 504 error (especially when using HuggingFace models). You can subscribe to a Vercel paid plan, run the server locally, or use Client-Server mode. <span id="vervel-limit-resolution"></span>

1.1.2 Client-Server

Deploy the server (see workers folder) to Cloudflare Workers and set following environment variables in .env file or Vercel.

| Key | Value | Required | | :--------------------------: | :-----------------------------------------------: | :------: | | NEXT_PUBLIC_WORKERS_SERVER | Server url (e.g. https://api.xxx.workers.dev) | ✅ |

Once NEXT_PUBLIC_WORKERS_SERVER is set, all the other environment variables will be ignored.

1.2 Deploy to Vercel

Deploy this project to Vercel (remember to set environment variables when deploying).

1.3 Common Issues

  • 429 error: You may have exceeded the HuggingFace api request limit. Please wait for a while, reduce the frequency of requests, and consider subscribing to a paid plan.
  • 504 error: The request may have exceeded the Vercel time limit. See above for resolution.

2 Development

2.1 Clone the repository

git clone https://github.com/LeafYeeXYZ/PainterLeaf.git
cd PainterLeaf

2.2 Install dependencies

bun install # or use other package manager you like

2.3 Local Development

bun run dev

2.4 Build

bun run build

Related Skills

View on GitHub
GitHub Stars35
CategoryCustomer
Updated1mo ago
Forks9

Languages

TypeScript

Security Score

95/100

Audited on Jul 8, 2026

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