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Kolors: text-to-image model for generating high-quality images, support for generating Chinese posters

General Introduction

Kolors is a large-scale text-to-image generation model developed by the Racer team, based on potential diffusion techniques. The model is trained on billions of text-image data pairs and is capable of generating high-quality, complex semantically accurate images with support for both English and Chinese inputs.Kolors demonstrates significant advantages in visual quality, complex semantic accuracy, and text rendering, and is suitable for a variety of application scenarios, such as virtual try-on, image restoration, and personalized image generation.

Kolors: a text-to-image model for generating high-quality images-1


 

Function List

  • Text-to-Image Generation: Input text descriptions to generate high-quality images.
  • Multi-language support: Supports Chinese and English input to generate images in the corresponding language.
  • virtual try-on: Provides a virtual try-on feature that allows users to try on different clothing styles.
  • Image Restoration: Repair and refine image details to improve image quality.
  • Personalized Image Generation: Generate personalized images according to user needs.
  • Model Training and Reasoning: Provide model training and inference code to facilitate secondary development.

 

Using Help

Installation process

  1. environmental preparation::
    • Install Python 3.8 or later.
    • Install PyTorch 1.13.1 or later.
    • Install Transformers 4.26.1 or later.
    • CUDA 11.7 or higher is recommended.
  2. Clone the repository and install the dependencies::
   apt-get install git-lfs git
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
  1. Download model weights::
   huggingface-cli download --resume-download Kwai-Kolors/Kolors --local-dir weights/Kolors

Usage Process

  1. Text-to-Image Generation::
    • Run the following command to generate an image:
     python3 scripts/sample.py "A photo of a ladybug, macro, zoom, high quality, movie, holding a sign that says 'available'"
    
    • The generated image will be saved in thescripts/outputs/sample_test.jpgThe
  2. Using Diffusers::
  3. virtual try-on::
    • Visit the Kolors Virtual Try-On page, upload a photo and select a clothing style to see what you can try on.
  4. Image Restoration::
    • Using the image repair function provided by Kolors, upload the image to be repaired and the system will automatically repair the image details.
  5. Personalized Image Generation::
    • Enter a description of your personalized needs and Kolors will generate a compliant image based on the description.

caveat

  • The Kolors model is completely open source and is intended for academic research only. 商业用途需填写问卷并发送至kwai-kolors@kuaishou.com进行注册.
  • Please strictly observe the open source license and avoid using the model for any purpose that may cause harm to the state and society.
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