stable-diffusion-rocm
awesome-stable-diffusion
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stable-diffusion-rocm | awesome-stable-diffusion | |
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5 | 10 | |
57 | 1,407 | |
- | 3.9% | |
0.0 | 0.0 | |
about 1 year ago | 20 days ago | |
Dockerfile | ||
- | Mozilla Public License 2.0 |
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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
awesome-stable-diffusion
- Other platform similar to civitai?
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The Count of Castlevania
Github list of additionally resources and guides
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New to ai generating images - are images in this subreddit from downloaded versions of Diffusion sites?
This big list keeps track of a few local versions, most of them without any NSFW block, https://github.com/awesome-stable-diffusion/awesome-stable-diffusion
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List of Stable Diffusion systems - Part 4
(Added Aug. 31, 2022) Awesome Stable-Diffusion.
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Can we please make a general update on all the "most important" news/repos available?
Meanwhile, the GitHub repository is always updatable and always found at the same URL, so if you want to see the latest news, you can just go to the page and look for yourself. Want to see what's new from the last week? Look at the commits (https://github.com/awesome-stable-diffusion/awesome-stable-diffusion/commits/main) and you can see what recently changed.
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Awesome Stable Diffusion - Community-maintained list of software and resources for Stable Diffusion
If you have a GitHub account, send a PR :) It's easy to edit the file, click here: https://github.com/awesome-stable-diffusion/awesome-stable-diffusion/edit/main/README.md
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Running Stable Diffusion on Your GPU with Less Than 10Gb of VRAM
I didn't realize 512x512 on 4GB VRAM (Win10 over RDP) was anything unusual, just followed https://github.com/awesome-stable-diffusion/awesome-stable-d... to https://github.com/basujindal/stable-diffusion and followed the instructions.
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A collection of sites using Stable Diffusion (and other handy links)
Let's move/copy this to GitHub: https://github.com/awesome-stable-diffusion/awesome-stable-diffusion
What are some alternatives?
stable-diffusion
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
stable_diffusion.openvino
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
glid-3-xl-stable - stable diffusion training
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"