gradio_fakeimage
Hacking a non component image into gradio (by Lerc)
tomesd
Speed up Stable Diffusion with this one simple trick! (by dbolya)
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| gradio_fakeimage | tomesd | |
|---|---|---|
| 1 | 18 | |
| 0 | 1,220 | |
| - | - | |
| 10.0 | 5.4 | |
| over 1 year ago | 6 months ago | |
| JavaScript | Python | |
| - | 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.
gradio_fakeimage
Posts with mentions or reviews of gradio_fakeimage.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-27.
-
AUTOMATIC1111 updated to 1.3.0 version
What I made is at https://github.com/Lerc/gradio_fakeimage
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.
-
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
What are some alternatives?
When comparing gradio_fakeimage and tomesd you can also consider the following projects:
stable-diffusion-webui-directml - Stable Diffusion web UI
stable-diffusion-webui-ux - Stable Diffusion web UI UX
sd-dynamic-prompts - A custom script for AUTOMATIC1111/stable-diffusion-webui to implement a tiny template language for random prompt generation
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion-webui-tensorrt
stable-diffusion-webui - Stable Diffusion web UI
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.
gradio_fakeimage vs stable-diffusion-webui-directml
tomesd vs stable-diffusion-webui-ux
gradio_fakeimage vs sd-dynamic-prompts
tomesd vs ComfyUI
gradio_fakeimage vs automatic
tomesd vs stable-diffusion-webui-tensorrt
gradio_fakeimage vs stable-diffusion-webui
tomesd vs automatic
gradio_fakeimage vs stable-diffusion-webui
tomesd vs sd-extension-system-info
tomesd vs stable-diffusion-webui
tomesd vs diffusers