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carefree-drawboard-0.0.0a9
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مشاهده بیشترتوضیحات
🎨 Infinite Drawboard in Python
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | carefree-drawboard-0.0.0a9 |
| نام | carefree-drawboard |
| نسخه کتابخانه | 0.0.0a9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | carefree0910 |
| ایمیل نویسنده | syameimaru.saki@gmail.com |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/carefree-drawboard/ |
| مجوز | - |
# carefree-drawboard 🎨
> This is the screenshot I used for the [Stable Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion) example and I don't know what should be the proper banner, help!
<div align="center">
[](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)
### [Wiki](https://github.com/carefree0910/carefree-drawboard/wiki) | [Examples](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples) | [Stable Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion) | [Caption & Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/caption_and_diffusion) | [Inpainting](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion_inpainting) | [ControlNet](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion_controlnet)
<div align="left">
## 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 `tsconfck@2.1.1` 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://github.com/carefree0910/carefree-drawboard/wiki/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 with `carefree-drawboard` 🎨.
* [Stable Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion), which utilizes the famous `diffusers` library and implements two common Stable Diffusion plugins with `carefree-drawboard` 🎨.
* [**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 with `carefree-drawboard` 🎨.
* [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 separate, lightweight, and reusable plugins very easily with `carefree-drawboard` 🎨.
## Documentation
Check the [Wiki](https://github.com/carefree0910/carefree-drawboard/wiki) page for documentation!
## Status
`carefree-drawboard` 🎨 is at a VERY early stage (it is launched in April 2023), so although it could be production ready (see [here](https://github.com/carefree0910/carefree-drawboard/wiki/Production) for more details), it does not have many real world use cases (yet).
But we will rapidly update this project and launch new features every week (or, even everyday), so ⭐ star and 👀 watch this repository to stay up to date!
## Contributing
Contributions are truly welcomed! Here are some good (common) ways to get started:
* **GitHub Discussions**: Currently the best way to chat around.
* **GitHub Issues**: Bugs! Fixes! PRs!.
Apart from these:
* It might be the best to start from the [Contributing](https://github.com/carefree0910/carefree-drawboard/wiki/Contributing) Wiki page.
* If you are truly an enthusiast, you may check out our [Roadmap](https://github.com/carefree0910/carefree-drawboard/wiki/Roadmap), pick up what you are interested, and create the corresponding PR!
### Style Guide
If you are still interested: `carefree-drawboard` 🎨 adopted [`black`](https://github.com/psf/black) and [`mypy`](https://github.com/python/mypy) to stylize its codes, so you may need to check the format, coding style and type hint with them before your codes could actually be merged.
## Q&A
### Where are my creations stored?
They are stored on your local machine, so you're 100% privacy secured!
> The default dir is `~/.cache/carefree-draw`, but you can change it manually
### Why Using 🎨 All Around?
Good question, so I asked GPT-4, it said:
> 🎨 (Artist Palette) - This emoji represents creativity, design, and artistic expression, which are all key aspects of the `carefree-drawboard` 🎨 platform.
Cool!
### Will there be a Discord Community?
Many thanks to [JSDu](https://github.com/JamesBonddu), who created a [Discord channel](https://discord.gg/UkfpFFmNd2) for my projects!!
如果有热心观众对这个项目感兴趣并愿意帮忙建立一个中文社区，欢迎联系我，我会非常感激的！！
**更新：** 热心观众（[JSDu](https://github.com/JamesBonddu)）出现啦！非常感谢！！！（猛戳[这里](https://discord.gg/UkfpFFmNd2)加入我们！）
### Why do you build this project?
> Also check [Design Philosophy](https://github.com/carefree0910/carefree-drawboard/wiki/Design-Philosophy).
In short, I believe that:
* Infinite Drawboard can unleash Infinite possibilities.
* If we can use `Python` to interact with it and even craft new plugins for it, it will be even better.
So here comes the `carefree-drawboard` 🎨, which is a `Python` interactible/customizable Infinite Drawboard. 🎉
My another motivation is that I love HuggingFace 🤗 models, and would love to use most if not all of them in one, single, integrated space. This actually inspires me the following idea: to build an 'AI Operation System' which can drive all the 'Softwares' (the AI models) and make them work together seamlessly.
> See [Brainstorm 🧠](https://github.com/carefree0910/carefree-drawboard/wiki/Brainstorm-%F0%9F%A7%A0) for more details!
My final goal is to make `carefree-drawboard` 🎨 a platform which can be used to build all kinds of AI applications. I know it will be a long journey but it is definitely worth trying.
> And the middle-term goal is to make 🤗 & 🎨 appear together more often. We may think 🤗🎨 as HuggingFace models using a powerful palette to create the world (with AI)!
## Credits
- [pynecone](https://github.com/pynecone-io/pynecone), which inspires me a lot.
- [Stable Diffusion](https://github.com/CompVis/stable-diffusion), the foundation of various image generation methods.
- [Diffusers](https://github.com/huggingface/diffusers), the adopted library for the [Stable Diffusion](https://github.com/carefree0910/carefree-drawboard/tree/dev/examples/stable_diffusion) example.
- [@liujs1](https://github.com/liujs1), who provides me the nice looking icons.
- And You! Thank you for watching!
نحوه نصب
نصب پکیج whl carefree-drawboard-0.0.0a9:
pip install carefree-drawboard-0.0.0a9.whl
نصب پکیج tar.gz carefree-drawboard-0.0.0a9:
pip install carefree-drawboard-0.0.0a9.tar.gz