stable-diffusion
stable-diffusion
stable-diffusion | stable-diffusion | |
---|---|---|
26 | 40 | |
203 | 594 | |
- | - | |
0.0 | 0.0 | |
over 1 year 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
-
Trying to merge model checkpoints and getting an error
Looks like Doggettx is a fork of CompVis/stable-diffusion, as a proof of concept:
- Stable Diffusion links from around September 11, 2022 that I collected for further processing
- Stable Diffusion for AMD GPUs on Windows using DirectML (Txt2Img, Img2Img & Inpainting) easy to setup (Python + Git)
-
Has anyone made a commandline client to use Automatic1111's version of Stable Diffusion over the network?
Don't use a UI if you want terminal access. Use a project meant for terminal. https://github.com/Doggettx/stable-diffusion/tree/autocast-improvements
- Looking at cheap high VRAM old tesla cards to run stable diffusion at high res!
-
Looking for a script I saw mentioned but can't find. Prompt Editing over Steps
The feature is just called prompt editing or prompt2prompt. It is also implemented in the Automatic1111 webui.
-
Any way to fix this?
Depends on what fork you are using but its just means you are running out of vram since it states you only have 4gb of it. You may need to use the optimizedsd scripts and use the Doggettx's attention.py, you can find this in ldm/modules/attention.py (I personally have 2 of those in my own folder since I need to switch them but typically you require 6gb min for sd.
-
Jabba The Hutt as a newborn
I installed SD from the CompVis GitHub repo and then swapped in modifications (namely attention.py and main.py) done by u/Doggettx that can be found here to overcome CUDA Out Of Memory issues. Going to try larger image sizes next. I wish you all good luck with concentrating on real work with this imaginatron around! ðŸ¤
-
Stable Diffusion Gui Benchmark Results: Loading... Generated 1 image in 5.58s (20/20)
using optimized attention.py and model.py from this github issue.
- This community continues to blow me away. 8 days ago I was amazed by my 1408 x 960 resolution image. With all the new features I'm now doing 6 megapixel native output (3072x2048). That's 24 times more pixels than 512x512. Full workflow in comments.
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 - Optimized Stable Diffusion modified to run on lower GPU VRAM
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
stable-diffusion-rocm
stable-diffusion-webui - Stable Diffusion web UI
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion
dream-textures - Stable Diffusion built-in to Blender
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]
stable-diffusion - A latent text-to-image diffusion model
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]