ModelTC/TFMQ-DM
[CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models".
This project helps machine learning engineers and researchers optimize diffusion models for faster performance without extensive retraining. It takes existing pre-trained diffusion models, like Stable Diffusion or LDM, and quantizes them into a more efficient, smaller format. The output is a quantized model that generates high-quality images much faster than the original.
109 stars. No commits in the last 6 months.
Use this if you need to significantly speed up image generation from diffusion models and reduce their computational footprint without sacrificing output quality, particularly when deploying models on resource-constrained hardware.
Not ideal if you are looking for a tool to train new diffusion models from scratch or if your primary concern is fine-tuning models rather than optimizing their inference speed.
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Apache-2.0
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Last pushed
Sep 29, 2025
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