<div align="center">
<h2>
AnimeDiffusion: A Pytorch Library for Anime Image Generation
</h2>
<div>
<img width="250" alt="teaser" src="doc\anime_diffusion_teaser.png">
</div>
<div>
<a href="https://pypi.org/project/AnimeDiffusion" target="_blank">
<img src="https://img.shields.io/pypi/pyversions/AnimeDiffusion.svg?color=%2334D058" alt="Supported Python versions">
</a>
<a href="https://badge.fury.io/py/AnimeDiffusion"><img src="https://badge.fury.io/py/AnimeDiffusion.svg" alt="pypi version"></a>
</div>
</div>
## 🛠️ Installation
```bash
git clone https://github.com/kadirnar/AnimeUpscaler
cd AnimeUpscaler
pip install -r requirements.txt
```
## 🎙️ Usage
```bash
```
### 🏆 Contributing
```bash
pip install -r requirements.txt
pre-commit install
pre-commit run --all-files
```
## 📜 License
This project is licensed under the terms of the Apache License 2.0.
## 🤗 Acknowledgments
This project is based on the [HuggingFace Diffusers](https://github.com/huggingface/diffusers) library.
Raw data
{
"_id": null,
"home_page": "https://github.com/kadirnar/AnimeDiffusion",
"name": "animediffusion",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": "",
"keywords": "",
"author": "kadirnar",
"author_email": "kadir.nar@hotmail.com",
"download_url": "https://files.pythonhosted.org/packages/68/57/93406a8ab6a862472b14633a4ad6aa1d7ba0b35fc641c78abac1782ad6e3/animediffusion-0.0.1.tar.gz",
"platform": null,
"description": "<div align=\"center\">\r\n<h2>\r\n AnimeDiffusion: A Pytorch Library for Anime Image Generation\r\n</h2>\r\n<div>\r\n <img width=\"250\" alt=\"teaser\" src=\"doc\\anime_diffusion_teaser.png\">\r\n</div>\r\n<div>\r\n <a href=\"https://pypi.org/project/AnimeDiffusion\" target=\"_blank\">\r\n <img src=\"https://img.shields.io/pypi/pyversions/AnimeDiffusion.svg?color=%2334D058\" alt=\"Supported Python versions\">\r\n </a>\r\n <a href=\"https://badge.fury.io/py/AnimeDiffusion\"><img src=\"https://badge.fury.io/py/AnimeDiffusion.svg\" alt=\"pypi version\"></a>\r\n</div>\r\n</div>\r\n\r\n## \ud83d\udee0\ufe0f Installation\r\n\r\n```bash\r\ngit clone https://github.com/kadirnar/AnimeUpscaler\r\ncd AnimeUpscaler\r\npip install -r requirements.txt\r\n```\r\n\r\n## \ud83c\udf99\ufe0f Usage\r\n\r\n```bash\r\n\r\n```\r\n\r\n### \ud83c\udfc6 Contributing\r\n\r\n```bash\r\npip install -r requirements.txt\r\npre-commit install\r\npre-commit run --all-files\r\n```\r\n\r\n## \ud83d\udcdc License\r\n\r\nThis project is licensed under the terms of the Apache License 2.0.\r\n\r\n## \ud83e\udd17 Acknowledgments\r\n\r\nThis project is based on the [HuggingFace Diffusers](https://github.com/huggingface/diffusers) library.\r\n",
"bugtrack_url": null,
"license": "Apache License 2.0",
"summary": "AnimeDiffusion: Anime Image Upscaler",
"version": "0.0.1",
"project_urls": {
"Homepage": "https://github.com/kadirnar/AnimeDiffusion"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "685793406a8ab6a862472b14633a4ad6aa1d7ba0b35fc641c78abac1782ad6e3",
"md5": "7569f115c9137a5d531f0000e34dc1bd",
"sha256": "2eaa059f3143a921965d0c70aaa9afedb85c8355312ababd1c9f730d9d4f2a9e"
},
"downloads": -1,
"filename": "animediffusion-0.0.1.tar.gz",
"has_sig": false,
"md5_digest": "7569f115c9137a5d531f0000e34dc1bd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 8740,
"upload_time": "2023-12-01T13:40:42",
"upload_time_iso_8601": "2023-12-01T13:40:42.819869Z",
"url": "https://files.pythonhosted.org/packages/68/57/93406a8ab6a862472b14633a4ad6aa1d7ba0b35fc641c78abac1782ad6e3/animediffusion-0.0.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-12-01 13:40:42",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "kadirnar",
"github_project": "AnimeDiffusion",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "animediffusion"
}