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The official implementation of BiViT: Extremely Compressed Binary Vision Transformers

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[ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models"

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The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"

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Tiny optimized Stable-diffusion that can run on GPUs with just 1GB of VRAM. (Beta)

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torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.

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This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"

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[NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

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