diffusers-interpret
stable-diffusion
diffusers-interpret | stable-diffusion | |
---|---|---|
15 | 142 | |
259 | 2,438 | |
- | - | |
10.0 | 9.8 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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.
diffusers-interpret
- Stable Diffusion links from around September 29, 2022 that I collected for further processing
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Diffusers-Interpret đ¤đ§¨đľď¸ââď¸ - Model explainability for đ¤ Diffusers
Check the project at https://github.com/JoaoLages/diffusers-interpret
- Diffusers-Interpret v0.4.0 is out! Explainability for Stable Diffusion
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Can we please make a general update on all the "most important" news/repos available?
For those who want to explore what the denoising process looks like, check out the [diffusers-interpret package](https://github.com/JoaoLages/diffusers-interpret)! You can generate a GIF like [this one](https://github.com/TomPham97/diffuser/blob/main/diffusion-process.gif?raw=true).
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Commas, How do they work?!
If you have lots of RAM the diffusers-interpreter is an explainability tool that can show exactly how much each token is beings weighted and which part of the image it is influencing.
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[D] Senior research scientist at GoogleAI, Negar Rostamzadeh: âCan't believe Stable Diffusion is out there for public use and that's considered as âokâ!!!â
github.com/JoaoLages/diffusers-interpret
- Model explainability for đ¤ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
- [P] Model explainability for đ¤ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
stable-diffusion
- [Stable Diffusion] Aide nĂŠcessaire Ă l'augmentation de la taille du fichier maximum sur l'installation locale
- [Machine Learning] [P] ExĂŠcutez une diffusion stable sur le GPU de votre M1 Mac
- Its time!
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Anybody running SD on a Macbook Pro? What are you using and how did you install it?
Yes, you can install it with Python! https://github.com/lstein/stable-diffusion works with macOS, and you can control all the common parameter via their WebUI or CLI :)
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How do I save the arguments for images I create when using the terminal? (Apple M1 Pro)
I'm using lstein fork ("dream") and when I create an image from the terminal, it also writes back to the terminal like this:
- I Resurrected âUgly Sonicâ with Stable Diffusion Textual Inversion
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AI Seamless Texture Generator Built-In to Blender
> Whenever I ask for something like âseamless tiling xxxxxxâ it kinda sorta gets the idea, but the resulting texture doesnât quite tile right.
Getting seamless tiling requires more than just have "seamless tiling" in the prompt. It also depends on if the fork you're using has that feature at all.
https://github.com/lstein/stable-diffusion has the feature, but you need to pass it outside the prompt. So if you use the `dream.py` prompt cli, you can pass it `"Hats on the ground" --seamless` and it should be perfectly tilable.
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Auto SD Workflow - Update 0.2.0 - "Collections", Password Protection, Brand new UI + more
From https://github.com/lstein/stable-diffusion
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Stable Diffusion GUIs for Apple Silicon
Stable Diffusion Dream Script: This is the original site/script for supporting macOS. I found this soon after Stable Diffusion was publicly released and it was the site which inspired me to try out using Stable Diffusion on a mac. They have a web-based UI (as well as command-line scripts) and a lot of documentation on how to get things working.
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Still can't believe this technology is real. My talentless 2 minute sketch on the left.
Iâm pretty sure it works for M2 as well - basically the newer ARM-based Macs. The instructions to get it working are detailed! https://github.com/lstein/stable-diffusion
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
waifu-diffusion - stable diffusion finetuned on weeb stuff
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
diffusion-ui - Frontend for deeplearning Image generation
stable-diffusion-webui-feature-showcase - Feature showcase for stable-diffusion-webui
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
txt2imghd - A port of GOBIG for Stable Diffusion
stable-diffusion
dream-textures - Stable Diffusion built-in to Blender