stable-diffusion-rocm
stable-diffusion
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stable-diffusion-rocm | stable-diffusion | |
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5 | 40 | |
57 | 594 | |
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0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
Dockerfile | Jupyter Notebook | |
- | GNU General Public License v3.0 or later |
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stable-diffusion-rocm
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[D] About the current state of ROCm
Re: stable diffusion https://github.com/AshleyYakeley/stable-diffusion-rocm
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It's time to upscale FSR 2 even further: Meet FSR 2.1
Very easy actually. This is not officially documented, but with a recent enough kernel you don't have to install anything. You can grab the official rocm container and it'll just work. For example for Stable Diffusion see https://github.com/AshleyYakeley/stable-diffusion-rocm/blob/...
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Running Stable Diffusion on Your GPU with Less Than 10Gb of VRAM
I had good luck with these directions, which let you run inside a docker container:
https://github.com/AshleyYakeley/stable-diffusion-rocm
I had to make the one line change suggested in issue #3 to get it to run under 8GB.
radeontop suggests 4GB might work.
I also had to add this environment variable to make it work on my unsupported radeon 6600xt:
HSA_OVERRIDE_GFX_VERSION=10.3.0
It takes under two minutes per batch of 5 images with the --turbo option.
(Base OS is manjaro; using the distro's version of docker; not the flatpack docker package.)
If you don't have a GPU, paperspace will rent you an appropriate VM.
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Run Stable Diffusion on Your M1 Mac’s GPU
I have it working on an RX 6800, used the scripts from this repo[0] to build a docker image that has ROCm drivers and PyTorch installed.
I'm running Ubuntu 22.04 LTS as the host OS, didn't have to touch anything beyond the basic Docker install. Next step is build a new Dockerfile that adds in the Stable Diffusion WebUI.[1]
[0] https://github.com/AshleyYakeley/stable-diffusion-rocm
- Dockerfile for easy use on an AMD GPU
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
What are some alternatives?
stable_diffusion.openvino
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
stable-diffusion-webui - Stable Diffusion web UI
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
stable-diffusion
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]
invisible-watermark - python library for invisible image watermark (blind image watermark)
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]