stable-diffusion-webui-feature-showcase
stable-diffusion
stable-diffusion-webui-feature-showcase | stable-diffusion | |
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33 | 186 | |
972 | 3,148 | |
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0.0 | 0.0 | |
7 months ago | 8 months ago | |
Jupyter Notebook | ||
- | GNU General Public License v3.0 or later |
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stable-diffusion-webui-feature-showcase
- How to turn anime image to realistic image in stable diffusion?
- [Stable Diffusion] inversion textuelle avec AUTOMATIC1111 webui
- [Ainudes] Comment créer des nus IA ?
- Is there any documentation for Automatic1111 WebUI?
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Is there a properly comprehensive guide on prompt syntax?
A1111 https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase
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Which one is the "official" version
Here's a quick rundown on a few of the most popular ones with links. I started out using CMDR2, which is very easy to get running as a newbie. Then I kind of graduated to NMKD because I wanted something a little more mainstream but still easy to use. Then, I finally decided I was hungry for all the strange and exotic bells and whistles that SD had to offer me, and so I installed Automatic1111. I also wanted something that would work well with my 4GB GTX 1650 laptop card, because that's considered "low ram" and kind of on the edge for running SD- Automatic1111 fit the bill there, too.
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At your service...
All generations were on the "Berry's Mix" model, which is made by combining NAI-final, Zenith's F111, r34 and SD1.4 according to this recipe. I used 30ish steps when generating images and inpainting, but 70-80 steps when outpainting because I read here that outpainting really benefits from extra steps. When outpainting I would generate 2-4 versions and pick the least broken one, then tidy up with inpainting.
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What's the name of this feature?
sounds like "outpainting", one of the very first features listed on 1111 repo with some instructions: https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase
- How do you expand an image? (image to image)
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Running neural networks locally.
I have no idea what you're talking about. Just get Automatic1111
stable-diffusion
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Possible to load Civitai models in basujindal optimizedSD fork?
I am using this repo: https://github.com/basujindal/stable-diffusion and it works fine with e.g. this model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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40min to render 2x 256x256 pictures ..
That includes this optimized version : https://github.com/basujindal/stable-diffusion
- [Stable Diffusion] Coincé chez Unet: courir en mode EPS-Prédiction
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How to use safetensors locally (optimized-sd)?
Ah, I wasn't aware of that. I use this version, which was very easy to set up and use by CLI.
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[Stable Diffusion] stabile Diffusion 1.4 - CUDA-Speicherfehler
Used repo recommended in https://github.com/CompVis/stable-diffusion/issues/39 to use https://github.com/basujindal/stable-diffusion - same result.
- [Stable Diffusion] Aide avec Cuda hors de mémoire
- [Stable Diffusion] Comment créer notre propre modèle?
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Help installing optimisedSD please. Thank you so much!
As per the best solution I found, I have download this (https://github.com/basujindal/stable-diffusion) version and pasted the optimizedSD folder in the main (user>stable-diffusion-webui) folder as per site instruction.
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Stable Diffusion Web UI: Using Optimized SD Post-Installation
The git says you can simply grab the OptimizedSD folder and paste it into the installation path, which I did. However, I'm not sure how to call upon its functionality. Again, the reddit post says >Remember to call the optimized python script python optimizedSD/optimized_txt2img.py instead of standard scripts/txt2img. Though I'm not even sure where that script call is performed. Any ideas? Thanks in advance!
- [Stablediffusion] diffusion stable 1.4 - Erreur CUDA de mémoire insuffisante
What are some alternatives?
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
glid-3-xl-stable - stable diffusion training
stable-diffusion
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion-webui - Stable Diffusion web UI
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
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.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
StableDiffusion-Windows-GUI