stable-diffusion
stable-diffusion-webui
stable-diffusion | stable-diffusion-webui | |
---|---|---|
186 | 75 | |
3,145 | 2,208 | |
- | - | |
0.0 | 9.8 | |
8 months ago | over 1 year ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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-webui
- [Stablediffusion] Interface utilisateur Web Diffusion stable
- Generating game concept art
-
../../workspace/imgs/txt2img
I am using this one : https://github.com/hlky/stable-diffusion-webui
-
How to generate a similar images to an input image *without* a prompt?
Not sure about the script but you can try using this web-ui's img2img tab.
-
Enhancing local detail and cohesion by mosaicing
https://github.com/hlky/stable-diffusion-webui now redirects to /sd-webui/stable-diffusion-webui, as though they're the "true" sd-webui.
-
reintalled new Hlky update & img2img returns errors (not just where you have to click on mask & back on crop)
As an update, in case anyone else has the issue, after getting some help (thanks u/vedroboev) I installed from here not sure what the difference is, but I got it working.
- Is anyone else unable to use the site?
-
Fixing SD images with img2img, am I misunderstanding the concept?
I would pick a version on the github from 8/31 in the stable diffusion repo and then follow step 2a in this guide https://rentry.org/GUItard to transfer the files from this https://github.com/hlky/stable-diffusion-webui/tree/96aba4b36d59803f3817ee60e96a097f54962ae4
-
Can't seem to get img2img up and running
This is a bug with the newest UI version. See this.
- Stable Diffusion Img2Img Help
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.
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
stable-diffusion
onnx - Open standard for machine learning interoperability
diffusers-uncensored - Uncensored fork of diffusers
waifu-diffusion - stable diffusion finetuned on weeb stuff
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.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
txt2imghd - A port of GOBIG for Stable Diffusion
stable-diffusion-webui - Stable Diffusion web UI
taming-transformers - Taming Transformers for High-Resolution Image Synthesis