This repository contains notebooks and resources for fine-tuning stable diffusion models. Stable diffusion models are powerful generative models capable of producing high-quality samples across a variety of domains. Fine-tuning these models allows users to adapt them to specific datasets, enhancing their flexibility.

• finetune_sd_1_5.ipynb this notebook focuses on the finetuning of stable diffusion v1.5, a lightweight model but not very performant. More details here.
• finetune_sdxl.ipynb this notebook focuses on the finetuning of stable diffusion XL, a more robust model that captures more details in images. More details here.

Contributions to this repository are welcome! If you have any ideas for improvements, new features, or bug fixes, feel free to open an issue or submit a pull request.

This repository is licensed under the MIT License. See the LICENSE file for details.

If you have any questions or inquiries about this repository, please contact [email protected].

Happy fine-tuning! 🚀