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🎨 Infinite Drawboard in Python
| Date | Stars |
|---|---|
| 2026-07-24 | 700 |
| 2026-07-25 | 700 |
| 2026-07-28 | 700 |
| 2026-07-30 | 700 |
| 2026-08-06 | 700 |
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# carefree-drawboard 🎨 ![Carefree Drawboard][socialify-image] <div align="center"> <br> **✨ Build performant, business ready web apps in pure Python.** <br> [](https://colab.research.google.com/github/carefree0910/carefree-drawboard/blob/dev/examples/server.ipynb) [](https://badge.fury.io/py/carefree-drawboard.svg)  [](https://opensource.org/licenses/Apache-2.0) ### [Documentation](https://carefree0910.me/carefree-drawboard-doc/docs/getting-started) | [Examples](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples) <div align="left"> <br> ## Installation `carefree-drawboard` 🎨 requires the following to get started: * Python 3.8+ * [Node.js 18+](https://nodejs.org/en/) > To be exact, we need `^14.13.1 || ^16 || >=18` because of the `[email protected]` package. ```bash pip install carefree-drawboard npm install --global yarn ``` Although we'll always try to help you install the frontend packages, it is recommended to install them beforehands because you can receive much more verbose: ```bash cfdraw install ``` If you are interested in the latest features, you may use `pip` to install from source as well: ```bash git clone https://github.com/carefree0910/carefree-drawboard.git cd carefree-drawboard pip install -e . ``` ## Your first `carefree-drawboard` 🎨 App Create a folder (e.g., `my_fancy_app`) wherever you like, get into it, and run ```bash cfdraw init ``` This command will write two files to your folder (`my_fancy_app`). After which you can run the app in development mode: ```bash cfdraw run ``` > When you run this command for the first time and have not called `cfdraw install` before, we will use `yarn` to install the JavaScript dependencies for you, which may be quite slow! And you should see your app running at http://localhost:5123. Now you can play with the generated `app.py` file and see warm reload (yeah, not hot enough because we rely on the `reload` provided by `uvicorn` 🤣). > Notice that the generated template implements a `GaussianBlur` plugin, which requires an image to pop up. You can upload an image either by dragging it directly to the drawboard 🎨, or by clicking the `Plus` button at the top right corner and select `Upload Image`. [Demo Video](https://user-images.githubusercontent.com/15677328/234529497-8d7f5b61-9154-4211-8d99-ec09fca0dc2d.mp4) ## Examples * [**Getting Started**](https://carefree0910.me/carefree-drawboard-doc/docs/getting-started), which is a more detailed tutorial to guide you step by step. * [Image Processing](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/image_processing), which implements three common image processing plugins. It also shows how to use the `IPluginGroup` in `carefree-drawboard` 🎨 to group the plugins together and make the UI cleaner. * [Stable Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion), which utilizes the famous `diffusers` library and implements two common SD plugins. * [**Caption & Diffusion**](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/caption_and_diffusion), which shows how can we combine two different kinds of models (`Image Captioning` & `Stable Diffusion`) and make them work together. * [Stable Diffusion Inpainting](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion_inpainting), which shows how can we implement complicated plugins like `StableDiffusionInpainting` very easily. * [Stable Diffusion ControlNet](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion_controlnet), which shows how can we decouple complicated workflows like `ControlNet` into se
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a88d7f0e46eff690, topic:stable-diffusion, readme:stable diffusion, readme:inpainting