stable-diffusion-rocm
stable-diffusion-webui
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stable-diffusion-rocm | stable-diffusion-webui | |
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5 | 75 | |
57 | 2,208 | |
- | - | |
0.0 | 9.8 | |
about 1 year ago | over 1 year ago | |
Dockerfile | Python | |
- | GNU Affero General Public License v3.0 |
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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-webui
- [Stablediffusion] Interface utilisateur Web Diffusion stable
- Generating game concept art
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../../workspace/imgs/txt2img
I am using this one : https://github.com/hlky/stable-diffusion-webui
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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.
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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.
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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?
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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
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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?
stable-diffusion
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
stable_diffusion.openvino
onnx - Open standard for machine learning interoperability
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
waifu-diffusion - stable diffusion finetuned on weeb stuff
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
txt2imghd - A port of GOBIG for Stable Diffusion
stable-diffusion
taming-transformers - Taming Transformers for High-Resolution Image Synthesis