tomesd
Speed up Stable Diffusion with this one simple trick! (by dbolya)
stable-diffusion-webui-tensorrt
By AUTOMATIC1111
| tomesd | stable-diffusion-webui-tensorrt | |
|---|---|---|
| 18 | 5 | |
| 1,207 | 305 | |
| - | - | |
| 5.4 | 2.9 | |
| 5 months ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
Posts with mentions or reviews of tomesd.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-11.
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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-tensorrt
Posts with mentions or reviews of stable-diffusion-webui-tensorrt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-11.
-
Question about automatic1111 set up after changing gpu
Also to note there is now the TensorRT to double your speed with. I have also calculated a few optimal settings for this as well. Max batch size of 7 with max height and width at 512. so 7x512x512. I have added a pull request for some gui changes and calculations for the extension which I am not sure have been added yet, but if you would like to have the gui tell you which settings for the max width, height, batch size, I can give you the code to update the extension. Also we added the ability to batch convert files from models>onnx and onnx>trt. Trts are the optimized files/models that are used to generate images 2+ times faster.
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I converted a few popular models to TensorRT - Big Speed Improvements
Unless something has changed in the last 7 days or for some reason the official repo isn't up to date, Loras are currently not supported and would have to be baked into the model to work.
- How do you figure out the shape of a checkpoint?
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Optimization comparison in A1111 1.3: TensorRT vs. xformers vs SDP
I just followed the instructions here: https://github.com/AUTOMATIC1111/stable-diffusion-webui-tensorrt
- A1111 just added support for TensorRT for webui as an extension!
What are some alternatives?
When comparing tomesd and stable-diffusion-webui-tensorrt you can also consider the following projects:
stable-diffusion-webui-ux - Stable Diffusion web UI UX
sd-webui-deforum - Deforum extension for AUTOMATIC1111's Stable Diffusion webui
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion-webui - Stable Diffusion web UI
sd-extension-system-info - System and platform info and standardized benchmarking extension for SD.Next and WebUI
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable-diffusion-webui-directml - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI
tomesd vs stable-diffusion-webui-ux
stable-diffusion-webui-tensorrt vs sd-webui-deforum
tomesd vs ComfyUI
stable-diffusion-webui-tensorrt vs TensorRT
tomesd vs automatic
stable-diffusion-webui-tensorrt vs stable-diffusion-webui
tomesd vs sd-extension-system-info
tomesd vs diffusers
tomesd vs stable-diffusion-webui-directml
tomesd vs stable-diffusion-webui
tomesd vs stable-diffusion-webui
tomesd vs stable-diffusion-webui