stable-diffusion-cpu
stable-diffusion
stable-diffusion-cpu | stable-diffusion | |
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4 | 142 | |
68 | 2,438 | |
- | - | |
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-cpu
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Pocket Dragons - Coffee with your pet Dragon
Created with stable-diffusion-cpu on an HP Proliant server, CPU-only, dual Xeon, 16c/32t.
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Run Stable Diffusion on Intel CPUs
I found this repo early on and have been using it to run inference on my M1 Pro MBP. https://github.com/ModeratePrawn/stable-diffusion-cpu
For me it runs at about 3.5 seconds per iteration per picture at 512x512.
There is also a fork that uses metal here and is much faster: https://github.com/magnusviri/stable-diffusion/tree/apple-si...
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StableDiffusion RUNS on M1 chips.
Download the code from the Github repo https://github.com/ModeratePrawn/stable-diffusion-cpu and unzip it. Open it on an editor (e.g. VS Code)
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The Stable Diffusion wiki guide does not work for Mac, however the guide does not state this.
For CPU, try: https://github.com/ModeratePrawn/stable-diffusion-cpu
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?
stable-diffusion-amd
waifu-diffusion - stable diffusion finetuned on weeb stuff
stable_diffusion.openvino
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
stable-diffusion-webui - Stable Diffusion web UI
rocm-gfx803
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
txt2imghd - A port of GOBIG for Stable Diffusion
dream-textures - Stable Diffusion built-in to Blender