Tomesd
Visit Tooltomesd is an Image Generation tool that speeds up Stable Diffusion by merging redundant tokens. It significantly reduces generation time and memory usage without requiring training.
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tomesd is an Image Generation tool that speeds up Stable Diffusion by merging redundant tokens. It significantly reduces generation time and memory usage without requiring training.
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About
tomesd is an open-source Python and PyTorch-based tool designed to accelerate Stable Diffusion models by implementing Token Merging (ToMe). This technique reduces computational load by merging redundant tokens within the transformer blocks, leading to faster image generation and lower memory consumption. tomesd works out-of-the-box with various Stable Diffusion models, including v1, v2, Latent Diffusion, and Diffusers, and does not require additional training. While it's a lossy process, it minimizes quality degradation while providing substantial speed and memory benefits. It can be applied to existing Stable Diffusion environments and is compatible with other efficient transformer implementations like xformers.
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