tomesd
stable-diffusion-webui
tomesd | stable-diffusion-webui | |
---|---|---|
18 | 10 | |
1,207 | 190 | |
- | - | |
5.4 | 9.8 | |
5 months ago | 8 months ago | |
Python | Python | |
MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tomesd
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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
stable-diffusion-webui
- Help with Install and Extensions
- AUTOMATIC1111 updated to 1.3.0 version
- Need help- mac M1 Pro
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Can’t connect to the Server
There seems to be some Mac related issue right now I think. You can try running this https://github.com/brkirch/stable-diffusion-webui/releases/tag/v1.1.1-RC but I have no idea about macs really other than reported issues with it crashing on generate.
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Python quit unexpectedly
Consider using this fork of A1111: https://github.com/brkirch/stable-diffusion-webui. It has Mac-specific improvements and is prepackaged so that changes to dependencies don't break the software.
- Help with installing on an intel mac?
- RuntimeError: “upsample_nearest2d_channels_last” not implemented for ‘Half’
- What am I doing wrong please?
- Automatic1111 is still active
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Turn on a Mac?
Yep, you could try this https://github.com/brkirch/stable-diffusion-webui/releases
What are some alternatives?
stable-diffusion-webui-ux - Stable Diffusion web UI UX
MochiDiffusion - Run Stable Diffusion on Mac natively
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-webui-directml - Stable Diffusion web UI
stable-diffusion-webui-tensorrt
sd-ui-plugins
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion-webui-rocm - A stable diffusion webui configuration for AMD ROCm
sd-extension-system-info - System and platform info and standardized benchmarking extension for SD.Next and WebUI
stable-diffusion-webui - Stable Diffusion web UI
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation