This repository provides a Google Colab notebook for running the SANA-Sprint text-to-image model, a variant of Stable Diffusion XL. It is intended for users who want to experiment with high-resolution image generation using advanced diffusion models.

How It Works

The notebook leverages the Stable Diffusion XL architecture, enhanced with SANA-Sprint techniques, to achieve high-resolution image synthesis. It allows users to input text prompts and generate corresponding images, demonstrating the model's capabilities with various examples.

Quick Start & Requirements

• Install/Run: Open and run the stable_diffusion.ipynb notebook in Google Colab.
• Prerequisites: Google Colab environment (free tier available, paid tiers offer more resources). GPU acceleration is required.
• Setup Time: Minimal, as it runs within the Colab environment.
• Links: stable_diffusion.ipynb

Highlighted Details

• Demonstrates image generation using both Stable Diffusion XL and the SANA-Sprint model.
• Includes example outputs for specific text prompts like "a photo of an astronaut riding a horse on Mars" and "a photo of Pikachu fine dining with a view to the Eiffel Tower".
• References key papers in diffusion model research, including Latent Diffusion Models and Latent Consistency Models.

Maintenance & Community

No specific information on maintainers, community channels, or roadmap is provided in the README.

Licensing & Compatibility

The repository itself is not explicitly licensed. The underlying models and code referenced (Stable Diffusion, LCM-LoRA) are typically released under permissive licenses, but users should verify the licenses of any specific components or checkpoints used within the Colab notebook.

Limitations & Caveats

The notebook is designed for Google Colab and may require adjustments to run in other environments. Performance and resource availability are dependent on the Colab tier used.