stable-diffusion-rocm-docker
stable-diffusion
stable-diffusion-rocm-docker | stable-diffusion | |
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4 | 111 | |
115 | 1,749 | |
- | - | |
3.7 | 10.0 | |
12 months ago | over 1 year ago | |
Dockerfile | Jupyter Notebook | |
- | GNU Affero General Public License v3.0 |
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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 ) .
stable-diffusion
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PSA: You can run your GPU's at 80% power and get the same rendering speeds while saving heat/fan noise/electricity
use or update this one : https://github.com/hlky/stable-diffusion it has all the samplers, and if you want perfect faces, try k_euler_a
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"a software developer after fixing a bug", by DALL-E 2
try this one https://github.com/hlky/stable-diffusion you need at least a 1050 to run it tho
- Which is the best fork out there ?
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At the end of my rope on hlky fork, can anyone recommend any alternative GUI forks I could switch to?
https://github.com/hlky/stable-diffusion/issues/153 With 36 comments and tons of before and after comparisons, which are now deleted
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CUDA memory error with hlky repo, (4GB Nvidia) - any ideas?
I wanted to try hlky version (https://github.com/hlky/stable-diffusion) , due to the WebUI and integration with upscaling models. It should also have the option to be optimized for low VRAM. To avoid getting a green square I have to add the parameters "--precision full --no-half". When I run a prompt, even with the smallest image size, I immediately get a CUDA memory error. Interestingly, without these parameters there isn't any memory error (but, of course, the result is a green square)
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Fallout 5: Toronto (created with AI)
Made using https://github.com/hlky/stable-diffusion
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Just released a Colab notebook that combines Craiyon+Stable Diffusion
Any chance to get this integrated into something like hlky's web ui?
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AI Tekst til bilde: Elg og stavkirke med nordlys over Norsk flagg i bakgrunnen [OC] Mer detaljer i posten
Linux Guide her. Jeg har også Linux, men jeg valgte å sette det opp på Windows boksen min fordi driverne til Nvidia kortet på Linux ikke er helt sammarbeidsvillig når det kommer til å justere viftene etter sensorene i kortet (så jeg må sette det manuelt).
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Using GFPGAN for only the eyes?
I'm seeing GFPGAN essentially remove all texture from faces, and I only want to use it on the eyes. Any thoughts on how to do this? I am using hlky/stable-diffusion now but I have no issues running a different repo/fork if needed and using command line.
- What's the best install of Stable Diffusion right now?
What are some alternatives?
stable-diffusion
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-krita-plugin
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
diffusers - AMD ONNX port of 🤗 Diffusers: State-of-the-art diffusion models
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
stable-diffusion
stable_diffusion.openvino
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]