sdui
infinite-zoom-stable-diffusion
| sdui | infinite-zoom-stable-diffusion | |
|---|---|---|
| 1 | 8 | |
| 38 | 79 | |
| - | - | |
| 10.0 | 5.8 | |
| over 1 year ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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sdui
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How to use other diffusers (k_euler) with various Mac SD forks?
I have the k-diffusion samplers working on M1 in my repo: https://github.com/harskish/sdui If you're comfortable with programming you could port the patches over.
infinite-zoom-stable-diffusion
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[New features🤩] InfiniteZoom extension for A1111 also works on Vlad automatic
There is a local version with diffusers here
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Infinite Zoom extension SD-WebUI [new features]
Google colab version
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My favorite Infinite Zoom - AI-Generated
GitHub Repo
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AI-generated infinite zoom 😍🤯
git clone https://github.com/v8hid/infinite-zoom-stable-diffusion.git cd infinite-zoom-stable-diffusion
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create infinite zoom effect using Stable Diffusion AI
GitHub Repo: infinite-zoom-stable-diffusion
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Infinite zoom with my picture, you can make your own link included - Stable Diffusion + outpainting
You can find google colab notebook to make infinite zoom art here https://github.com/v8hid/infinite-zoom-stable-diffusion
What are some alternatives?
carefree-creator - AI magics meet Infinite draw board.
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
infinite-zoom-automatic1111-webui - infinite zoom effect extension for AUTOMATIC1111's webui - stable diffusion
x-stable-diffusion - Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. Join our Discord communty: https://discord.com/invite/TgHXuSJEk6
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
Kandinsky-2 - Kandinsky 2 — multilingual text2image latent diffusion model
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
daam - Diffusion attentive attribution maps for interpreting Stable Diffusion.
LECO - Low-rank adaptation for Erasing COncepts from diffusion models.
diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.