Kolors Howto
Kolors is a large-scale bilingual text-to-image generation model developed by Kuaishou that excels in visual quality, complex semantic accuracy, and text rendering for both Chinese and English content.
View MoreHow to Use Kolors
1. Install System Requirements: Ensure you have Python 3.8+, PyTorch 1.13.1+, Transformers 4.26.1+, and CUDA 11.7+ (recommended) installed on your system
2. Clone Repository & Install Dependencies: Run these commands:
1. apt-get install git-lfs
2. git clone https://github.com/Kwai-Kolors/Kolors
3. cd Kolors
4. conda create --name kolors python=3.8
5. conda activate kolors
6. pip install -r requirements.txt
7. python3 setup.py install
3. Download Model Weights: Download weights using either:
Option 1: huggingface-cli download --resume-download Kwai-Kolors/Kolors --local-dir weights/Kolors
OR
Option 2: git lfs clone https://huggingface.co/Kwai-Kolors/Kolors weights/Kolors
4. Basic Text-to-Image Generation: Run: python3 scripts/sample.py "your_prompt_here"
The generated image will be saved to scripts/outputs/sample_text.jpg
5. Launch Web Demo (Optional): Run: python3 scripts/sampleui.py to start the web interface
6. Using with Diffusers (Alternative Method): 1. Clone and install latest diffusers:
git clone https://github.com/huggingface/diffusers
cd diffusers
python3 setup.py install
2. Use the KolorsPipeline with recommended settings:
- guidance_scale=5.0
- num_inference_steps=50
7. Advanced Features (Optional): Additional features available:
- IP-Adapter-Plus for image-prompt generation
- ControlNet for image control
- Inpainting for image editing
- IP-Adapter-FaceID-Plus for face-aware generation
- Dreambooth-LoRA for fine-tuning
Each feature requires downloading additional specific weights from Hugging Face
8. Commercial Usage Registration: If using for commercial purposes, send the questionnaire to [email protected] for registration. Free license available if monthly active users < 300 million
Kolors FAQs
Kolors is a large-scale text-to-image generation model developed by the Kuaishou Kolors team. It's trained on billions of text-image pairs and supports both Chinese and English inputs, with strong performance in visual quality, complex semantic accuracy, and text rendering.
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