Image generation AI in container using Radeon GPU
Project Description
I have casually investigated that recent open source image generation AI systems are relatively invasive of the host system if one starts to install them that way. Usually container is better but needs special configuration to access the needed hardware. I'd like to run something in a container utilizing the RDNA2 Radeon gfx card I have on my desktop computer.
The exact container type would be evaluated, and of course existing solutions will be seeked.
Goal for this Hackweek
The goals for the Hackweek include to have suitable optimized container that can be created from scratch with one command and can generate SUSE related images with the AMD graphics with 8GB RAM (which is a bit limited apparently).
Resources
https://github.com/tjyrinki/sd-rocm
Results
See the github link above, images below and the blog post at https://timojyrinki.gitlab.io/hugo/post/2023-02-02-stablediffusion-docker/
This project is part of:
Hack Week 22
Activity
Comments
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about 1 year ago by tjyrinki_suse | Reply
Blog post at https://timojyrinki.gitlab.io/hugo/post/2023-02-02-stablediffusion-docker/ – read more there!
See the git repo for what has been done as part of this project.
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Reply to tjyrinki_suse
Blog post at https://timojyrinki.gitlab.io/hugo/post/2023-02-02-stablediffusion-docker/ – read more there!
See the git repo for what has been done as part of this project.
# A First Level Header ## A Second Level Header Use one asterisk to *emphasize* Use two asterisks for **strong emphasis** * Use asterisks * for lists This is an [example link](http://example.com/) This is an  This is a user link @hans This is a project link hw#some-cool-title
Reply to tjyrinki_suse
# A First Level Header ## A Second Level Header Use one asterisk to *emphasize* Use two asterisks for **strong emphasis** * Use asterisks * for lists This is an [example link](http://example.com/) This is an  This is a user link @hans This is a project link hw#some-cool-title
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