Kolors

--- license: apache-2.0 language: - zh - en tags: - text-to-image - stable-diffusion - kolors --- # Kolors: Effective Training of Diffusion Model for Photorealistic Text-to-Image Synthesis <div align="center" style="display: flex; justify-content: center; flex-wrap: wrap;"> <a href="https://github.com/Kwai-Kolors/Kolors"><img src="https://img.shields.io/static/v1?label=Kolors Code&message=Github&color=blue&logo=github-pages"></a> &ensp; <a href="https://kwai-kolors.github.io/"><img src="https://img.shields.io/static/v1?label=Team%20Page&message=Page&color=green"></a> &ensp; <a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf"><img src="https://img.shields.io/static/v1?label=Tech Report&message=Arxiv:Kolors&color=red&logo=arxiv"></a> &ensp; <a href="https://kolors.kuaishou.com/"><img src="https://img.shields.io/static/v1?label=Official Website&message=Page&color=green"></a> </div> <figure> <img src="imgs/head_final3.png"> </figure> <br> ## 📖 Introduction Kolors is a large-scale text-to-image generation model based on latent diffusion, developed by the Kuaishou Kolors team. Trained on billions of text-image pairs, Kolors exhibits significant advantages over both open-source and proprietary models in visual quality, complex semantic accuracy, and text rendering for both Chinese and English characters. Furthermore, Kolors supports both Chinese and English inputs, demonstrating strong performance in understanding and generating Chinese-specific content. For more details, please refer to this <a href="https://github.com/Kwai-Kolors/Kolors/blob/master/imgs/Kolors_paper.pdf">technical report</a></b>. ## 🚀 Quick Start ### Requirements * Python 3.8 or later * PyTorch 1.13.1 or later * Transformers 4.26.1 or later * Recommended: CUDA 11.7 or later <br> 1. Repository cloning and dependency installation ```bash apt-get install git-lfs git clone https://github.com/Kwai-Kolors/Kolors cd Kolors conda create --name kolors python=3.8 conda activate kolors pip install -r requirements.txt python3 setup.py install ``` 2. Weights download（[link](https://huggingface.co/Kwai-Kolors/Kolors)）： ```bash huggingface-cli download --resume-download Kwai-Kolors/Kolors --local-dir weights/Kolors ``` or ```bash git lfs clone https://huggingface.co/Kwai-Kolors/Kolors weights/Kolors ``` 3. Inference： ```bash python3 scripts/sample.py "一张瓢虫的照片，微距...

Source context: 894 downloads · 862 likes · Pipeline text-to-image · Library diffusers · Repo Kwai-Kolors/Kolors

Source context: 890 downloads · 862 likes · Pipeline text-to-image · Library diffusers · Repo Kwai-Kolors/Kolors