tomesd
sd-dynamic-prompts
tomesd | sd-dynamic-prompts | |
---|---|---|
18 | 118 | |
1,207 | 1,890 | |
- | - | |
5.4 | 7.9 | |
5 months ago | 20 days ago | |
Python | Python | |
MIT License | MIT License |
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
-
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
-
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
-
AUTOMATIC1111 updated to 1.3.0 version
It merges redundant tokens: https://github.com/dbolya/tomesd So it can make the generation slightly faster.
-
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
-
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?
-
Vlad diffusion keeps growing. Big thanx to all supporters :)
Done! Proposal
-
Token Merging actually works and reduces generation time as well as RAM
This feature comes from this project: https://github.com/dbolya/tomesd
-
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
sd-dynamic-prompts
-
Prompt Syntax Language--I know I saw it, but where?
I found some of the images I remember from the article I'm trying to find, buried deep in the StylePile Extension , but sadly not the article itself. The Wildcards Directory Extension looks promising as well, although it seems only tangentially related to what I'm looking for.
-
Can't get random combinations to work
While not really relevant to the issue I am trying to use a program to build wildcards to use with sd-dynamic-prompts. That is why the code contains a few weird things in how it outputs the files and why it restricts certain characters on input.
-
SDXL black people look amazing.
wildcards already done https://github.com/adieyal/sd-dynamic-prompts/blob/main/collections/nsp/nsp/nationality.txt
- Is there a way to get a random output of locations/backgrounds?
- Random or Logical operators in text prompt syntax?
-
Nearly Unlimited Female Faces
Body types is on my to-do list if I can make it work. As for custom categories, probably not. Honestly if that's what you want you should use a straightforward wildcard extension like Dynamic Prompts. Try it, it's fantastic.
-
Need help with ideas
First step: install the dynamic prompt extension (you may like some of its extra features as they fall directly in the type of work you are doing) or the barebones Wildcard extension that was initially released by A1111 himself.
-
Creating a randomized crowd with various expression through txt2img with adetailer + dynamic prompt extension
This is an experimental attempt in order to avoid "same face"/copypaste effect of having multiple subjects. It's simply using adetailer and dynamic prompt extension to create a group people with different clothing/expressions. The prompt in both txt2img and adetailer can be changed according to what the project need.
-
How do I create more varied images, in one batch?
https://github.com/adieyal/sd-dynamic-prompts let you add random (or controlled) info to your prompt
- What are some must-have/fun extensions or modules?
What are some alternatives?
stable-diffusion-webui-ux - Stable Diffusion web UI UX
stable-diffusion-webui-wildcards - Wildcards
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-webui-tensorrt
a1111-sd-webui-tagcomplete - Booru style tag autocompletion for AUTOMATIC1111's Stable Diffusion web UI
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
unprompted - Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
sd-extension-system-info - System and platform info and standardized benchmarking extension for SD.Next and WebUI
sd-webui-regional-prompter - set prompt to divided region
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
adetailer - Auto detecting, masking and inpainting with detection model.