stable-diffusion
waifu-diffusion
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stable-diffusion | waifu-diffusion | |
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142 | 28 | |
2,438 | 1,926 | |
- | - | |
9.8 | 0.0 | |
over 1 year ago | about 1 year ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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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
waifu-diffusion
- What exactly constitutes a new, different model?
- AI: "All Your Horny Belong to Us"
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Cool Japan Diffusion 2.1.1 has been released! 🎉
It's slander to say that the WD team is milking donations in the same way UD is. They already have a public working model which they are continuing to train. The WD team has also implemented features like aspect ratio bucketing into their custom trainer. If they were really milking the project for donations they would have just used the base compvis trainer it was forked from.
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From one of the original DreamBooth authors : Stop using SKS as the initializer word
Use one of the original SD repos, or the code for Waifu Diffusion, or the Smirkingface refactor.
- Stable Diffusion links from around October 4, 2022 that I collected for further processing
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These images of Senko were Generated by AI (Part 2 - Halloween themed)
My model is based off waifu-diffusion.
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What is the name of the AI that created anime art that people keep talking about?
waifu diffusion (free) and NovelAI (paid afaik) is what I know
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Any finetuners (actual finetuning, not Dreambooth) here who can help me find a good learning rate and epoch? At batch size 12/16 (I am using a single A100) with a learning rate of 1e-5/1e-4 I am overfitting (turning all characters into my character) while the style still isn't there yet with ep14...
This is the one I use: https://github.com/harubaru/waifu-diffusion
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Is there a way to tell the AI which artstyle to use?
This is called textual inversion which use many images and a small group of promtps to describe a single element, and there are two methods: with frozen model and with unfrozen model. The first one just creates a new “word” to “guide” the model, in other words, a word that means the same as a chunk of a prompt. The resulting data is a tiny file. The second one (better known dreamboth training) adds new data to de model, so it can copy the character’s characteristics and artist style more effecively resulting in a new model file (cpkt) There are not a single tutorial, so you can find many info on r/StableDiffusion. Also, there is a third method which is based on the original training (many images and its own description) Instruction are here: Training guide I don’t know if this guide is finished though
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Tsukasa at the Beach (Created by a Waifu-Diffusion AI)
The model is a tweaked version of waifu-diffusion using textual inversion. Still not perfect but the AI can create pretty plausible images.
What are some alternatives?
taming-transformers - Taming Transformers for High-Resolution Image Synthesis
stable-diffusion-webui - Stable Diffusion web UI
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]
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
txt2imghd - A port of GOBIG for Stable Diffusion
merge-models - Merges two latent diffusion models at a user-defined ratio
dream-textures - Stable Diffusion built-in to Blender
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
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.
stable-diffusion-gui - Windows GUI for Stable Diffusion