stable-diffusion
stable-diffusion
stable-diffusion | stable-diffusion | |
---|---|---|
186 | 40 | |
3,145 | 594 | |
- | - | |
0.0 | 0.0 | |
8 months 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 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
stable-diffusion
-
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
-
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
-
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.
-
[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?
-
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.
-
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
stable-diffusion
- Stable Diffusion links from around September 12, 2022 that I collected for further processing
- Stable Diffusion links from around September 16, 2022 that I collected for further processing
-
Can't install neonsecret's fork
1. git clone https://github.com/neonsecret/stable-diffusion 2. pip install --upgrade -r requirements.txt 3. conda env create -f environment.yaml
- AI Art: Dantooine Jedi Enclave, Unimaginably cool I can make fanart for any game
-
Please recommend a way to run SD on 4GB Nvidia on Ubuntu
neonsecret's fork is the only one I can get to run on my 4gb GeForce GTX 1050 Ti. I also use OptiomizedSD "just" the optimizedsd scripts folder copied over to neonsecrets. I've never been able to get automatic1111's fork to work for me.
-
Everything has worked flawlessly so far except this command. Any idea as to what the issue might be?
You can also clone neonsecret's version of optimized repository, if you want a better GUI, or use Arki's guide for AUTOMATIC1111's repo, which also has an optimized mode, and is pretty feature-packed.
-
Why can't I use Stable Diffusion?
sd gui
-
The first 4k picture ever produced by neural networks
Hey guys, today I produced the first ever 4k image using this: https://github.com/neonsecret/stable-diffusion/
-
Best GUI overall?
https://github.com/neonsecret/stable-diffusion/ https://github.com/neonsecret/neonpeacasso I have two of those, for both low-end and high-end GPUs
-
Literally 4k (3840x2176)
using https://github.com/neonsecret/stable-diffusion
What are some alternatives?
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.
stable-diffusion-rocm
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.
stable-diffusion
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion
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]
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]