Diffusion-ColabUI
sd-akashic
| Diffusion-ColabUI | sd-akashic | |
|---|---|---|
| 4 | 37 | |
| 395 | 1,595 | |
| - | - | |
| 10.0 | 1.4 | |
| 12 months ago | about 1 year ago | |
| Jupyter Notebook | ||
| Apache License 2.0 | The Unlicense |
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Diffusion-ColabUI
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Stable Diffusion 2.0 on Google Colab
GitHub
- Stable Diffusion links from around November 5, 2022 that I collected for further processing
- List of SD Tutorials & Resources
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Stable Diffusion V1.5
And GitHub: https://github.com/acheong08/Diffusion-ColabUI
sd-akashic
- [Stable Diffusion] La longueur maximale utilisable d'une invite de texte de diffusion stable est prétendument 77 jetons. Voici ce que cela signifie et comment tester le nombre de jetons dans votre invite de texte.
- [Stablediffusion] Que font exactement les guidance scale ?
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Model Testing - Realistic portraits with a study of various artists (A's)
The very study you linked to also did this same thing, as have multiple others, and they have a visible, attributable, and even measurable effect exactly as I pointed out. Meanwhile yours doesn't, to the point of being attributable to noise on many. Therefor, "Don't be fooled."
- [Stablediffusion] Que fait exactement la Guidance Scale ?
- Is this tutorial legit?
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Hi folks, thought I'd ask for help here because I'm quite a noob when it comes to stable diffusion. I have the problem that I want to generate landscapes and every time I get double mountains. I used negative (((Duplicate mountain))), double mountains,(((extra mountain))) but it doesn't help. Though
I remember referencing this image a lot - https://github.com/Maks-s/sd-akashic/blob/master/img/brbbbq-dimensions.png
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Improving old 3D renders with AI and SD
I've found the keywords to improve the results in this repository along with a lot of usefull info.
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What kind of limits would I have with an RTX 2070?
Picture Ratios
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List of SD Tutorials & Resources
Stable Diffusion Akashic Records
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Intro to Stable Diffusion: Resources and Tutorials
I think the current best list is at https://github.com/Maks-s/sd-akashic. There are now many such lists floating around. (I'm currently starting the hoarding of data and see if I can add to that list the many new links.)
What are some alternatives?
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
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.
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
rocm-build - build scripts for ROCm
g-diffuser-bot - Experimental utilities, extensions, and frontend interfaces for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-lib]
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
unprompted - Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion - A latent text-to-image diffusion model