Project Title
stable-diffusion — A powerful latent text-to-image diffusion model for generating high-resolution images
Overview
Stable Diffusion is an open-source latent text-to-image diffusion model that enables the generation of high-resolution images from text prompts. Developed in collaboration with Stability AI and Runway, this model leverages a frozen CLIP ViT-L/14 text encoder and is known for its relatively lightweight architecture, making it suitable for GPUs with at least 10GB VRAM. It stands out for its ability to produce images conditioned on text, offering a versatile tool for various applications in image synthesis.
Key Features
- Integration with a frozen CLIP ViT-L/14 text encoder for text conditioning
- Lightweight model architecture with an 860M UNet and 123M text encoder
- Pretrained on a subset of the LAION-5B database, enabling the generation of 512x512 images
- Research artifact with specific use-based restrictions to prevent misuse
Use Cases
- Researchers and developers using the model for image synthesis tasks
- Content creators leveraging the model to generate custom images based on textual descriptions
- Educational purposes for understanding the capabilities and limitations of text-to-image models
Advantages
- High-resolution image generation capability
- Relatively lightweight model suitable for moderate VRAM GPUs
- Open-source and permissive licensing for research and commercial use (with restrictions)
Limitations / Considerations
- Model mirrors biases and misconceptions present in its training data
- Known limitations and biases require additional safety mechanisms for deployment
- Research on safe and ethical deployment is ongoing, and the model should be treated as a research artifact
Similar / Related Projects
- DALL-E: A similar text-to-image synthesis model by OpenAI, known for its creativity but with more restrictive access.
- Imagen: Google's text-to-image model that also uses a frozen CLIP text encoder, offering a comparison in model architecture and capabilities.
- Midjourney: A commercial text-to-image model that provides a user-friendly interface for image generation, differing in its focus on user experience.
Basic Information
- GitHub: https://github.com/CompVis/stable-diffusion
- Stars: 71,252
- License: Unknown
- Last Commit: 2025-08-04
📊 Project Information
- Project Name: stable-diffusion
- GitHub URL: https://github.com/CompVis/stable-diffusion
- Programming Language: Jupyter Notebook
- ⭐ Stars: 71,252
- 🍴 Forks: 10,489
- 📅 Created: 2022-08-10
- 🔄 Last Updated: 2025-08-04
🏷️ Project Topics
Topics: [, ]
🔗 Related Resource Links
🌐 Related Websites
- Stability AI
- Runway
- High-Resolution Image Synthesis with Latent Diffusion Models
- Robin Rombach
- Andreas Blattmann
This article is automatically generated by AI based on GitHub project information and README content analysis