🧨 Stable Diffusion in JAX / Flax !

Stable Diffusion has been implemented in JAX/Flax, providing an efficient and flexible framework for training and deploying diffusion models. This implementation leverages JAX's automatic differentiation and GPU acceleration capabilities, allowing for faster training times and more scalable model architectures. The release is significant for practitioners as it enables easier experimentation with diffusion models and integration into existing JAX-based workflows.