Optimized Stable Diffusion Pipeline
PyTorch
diffusers
xFormers
CUDA
A high-performance implementation of Stable Diffusion with memory optimizations and custom attention mechanisms. Features include LoRA fine-tuning, custom schedulers, and optimized inference.
Features
- Memory-efficient attention implementation
- Custom LoRA for fine-tuning
- Flash Attention integration
- Optimized UNet architecture
- Custom CUDA kernels for samplers