stable-diffusion
stable-diffusion
stable-diffusion | stable-diffusion | |
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5 | 142 | |
94 | 2,438 | |
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0.0 | 9.8 | |
about 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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stable-diffusion
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Fixing excessive contrast/saturation resulting from high CFG scales
I'm using a modified noise schedule (Karras et al, arXiv:2206.00364) taken from the LAION Discord user's fork (here). With that schedule, from their testing and my own, k_heun seems to perform about 3x better than others at equivalent steps (each step takes about 2x longer, but it's still a win). Also it performs well even with as low as 7 steps. I'd be surprised if euler was far superior since from my understanding, heun is basically an improved version of it.
- Run Stable Diffusion on Your M1 Mac’s GPU
- The 'dummies' are craving an even 'dummier' tutorial (please)
stable-diffusion
- [Stable Diffusion] Aide nécessaire à l'augmentation de la taille du fichier maximum sur l'installation locale
- [Machine Learning] [P] Exécutez 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 “Ugly Sonic” with Stable Diffusion Textual Inversion
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AI Seamless Texture Generator Built-In to Blender
> Whenever I ask for something like ‘seamless tiling xxxxxx’ it kinda sorta gets the idea, but the resulting texture doesn’t 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.
I’m 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?
invisible-watermark - python library for invisible image watermark (blind image watermark)
waifu-diffusion - stable diffusion finetuned on weeb stuff
stable_diffusion.openvino
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
stable-diffusion-intel-mac
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion
diffusers-uncensored - Uncensored fork of diffusers
gradi
txt2imghd - A port of GOBIG for Stable Diffusion
onnx - Open standard for machine learning interoperability
dream-textures - Stable Diffusion built-in to Blender