Shypd.aiThe largest open index of AI toolsstable-fast is an optimization framework that significantly enhances inference performance for HuggingFace Diffusers on NVIDIA GPUs. It offers blazing-fast compilation and supports dynamic shapes, LoRA, and ControlNet out of the box.
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stable-fast is an ultra-lightweight inference optimization framework specifically designed for HuggingFace Diffusers on NVIDIA GPUs. It achieves state-of-the-art inference performance across various diffuser models, including StableVideoDiffusionPipeline, with compilation times of only a few seconds, unlike other solutions that can take dozens of minutes. The framework supports dynamic shapes, LoRA, and ControlNet, and integrates key techniques such as CUDNN Convolution Fusion, Low Precision & Fused GEMM, Fused Linear GEGLU, NHWC & Fused GroupNorm, and CUDA Graph. It also improves the `torch.jit.trace` interface for more stable tracing of complex models and offers dynamic quantization for VRAM reduction, making it a powerful tool for developers working with AI models.
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