stable-diffusion
stable-diffusion-rocm-docker
stable-diffusion | stable-diffusion-rocm-docker | |
---|---|---|
40 | 4 | |
594 | 113 | |
- | - | |
0.0 | 3.7 | |
over 1 year ago | 11 months ago | |
Jupyter Notebook | Dockerfile | |
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.
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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
- 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
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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
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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.
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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.
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Why can't I use Stable Diffusion?
sd gui
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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/
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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
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Literally 4k (3840x2176)
using https://github.com/neonsecret/stable-diffusion
stable-diffusion-rocm-docker
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Full AMD Linux Laptop (Radeon 7600M XT GPU, Ryzen CPU): Tuxedo Sirius 16 Review
Let me check my Portainer. Here is a pretty out-of-the-box ready to run container that provides a web interface:
https://github.com/l1na-forever/stable-diffusion-rocm-docker
You may have to do a few slight things to give the docker container access to your GPU. On Fedora Linux I have these packages installed related to ROCm:
$ dnf list --installed | grep -i rocm
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Super Stable Diffusion on AMD GPUs?
I've had a lot of luck with this in a docker installation Stable Diffusion RoCM Docker but I'm not really good enough with Docker to change things around inside the container. I've also hit a wall a few times trying to get this on linux native, ubuntu 22.04 and 20.04 as well. Currently having kernel version mismatch issues in 20.04 getting the automatic1111 installation to play nice with rocm.
- A script to download Stablediffusion on AMD gpu on linux
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Fork for automatic memory allocation, allows for rendering at high res and/or high speed (example rendered at 1024x2816 in one pass, info inside)
Same, also on an AMD card (I'm on a 6900XT) going through ROCM (the docker image from https://github.com/l1na-forever/stable-diffusion-rocm-docker ) .
What are some alternatives?
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-rocm
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
stable-diffusion-webui - Stable Diffusion web UI
diffusers - AMD ONNX port of 🤗 Diffusers: State-of-the-art diffusion models
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]