StreamDiffusion is a pipeline-level solution for real-time interactive generation. It offers several key features, including streamlined data processing through efficient batch operations, an improved guidance mechanism that minimizes computational redundancy, GPU utilization efficiency through advanced filtering techniques, efficient management of input and output operations, optimization of caching strategies for accelerated processing, and various tools for model optimization and performance boost. The content provides installation steps and usage examples for both text-to-image and image-to-image generation using StreamDiffusion. The development team and contributors are also acknowledged.
https://github.com/cumulo-autumn/StreamDiffusion