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Tomesd Alternatives
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tomesd reviews and mentions
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List of all the ways to improve performance for stable diffusion.
They show up to 5.4 times greater: you can see his results in the image on the github repo here: https://github.com/dbolya/tomesd
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Question about automatic1111 set up after changing gpu
Another optimization extension you can use as well is token merging which has reported around 5.4x faster image generation.
- +39%~51% faster at the cost of some details? ToMe officially arrives to Auto1111's webui v1.3.0
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AUTOMATIC1111 updated to 1.3.0 version
It merges redundant tokens: https://github.com/dbolya/tomesd So it can make the generation slightly faster.
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I made some changes in AUTOMATIC1111 SD webui, faster but lower VRAM usage
Mods patched - Tomesd - Pillow-SIMD - OpenCV-CUDA (WIP) - Removed some unused imports and startup checking - Improved performance with reduced VRAM usage (tested on txt2img only) - Added a new option to use external RealESRGAN with --external-realesrgan
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Honest question, how are people getting ~35-40 it/sec on 4090? My spits 20 at most
Were the 40 it/s perhaps achieved with ToMe?
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Vlad diffusion keeps growing. Big thanx to all supporters :)
Done! Proposal
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Token Merging actually works and reduces generation time as well as RAM
This feature comes from this project: https://github.com/dbolya/tomesd
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How can I squeeze every ounce of performance from web UI?
GitHub - dbolya/tomesd: Speed up Stable Diffusion with this one simple trick!
- Token Merging for Fast Stable Diffusion
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Stats
dbolya/tomesd is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of tomesd is Python.
Popular Comparisons
- tomesd VS stable-diffusion-webui-ux
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- tomesd VS stable-diffusion-webui
- tomesd VS stable-diffusion-webui