stable-diffusion-rocm-docker
stable-diffusion
stable-diffusion-rocm-docker | stable-diffusion | |
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4 | 186 | |
115 | 3,145 | |
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3.7 | 0.0 | |
12 months ago | 8 months ago | |
Dockerfile | Jupyter Notebook | |
- | GNU General Public License v3.0 or later |
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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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Possible to load Civitai models in basujindal optimizedSD fork?
I am using this repo: https://github.com/basujindal/stable-diffusion and it works fine with e.g. this model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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40min to render 2x 256x256 pictures ..
That includes this optimized version : https://github.com/basujindal/stable-diffusion
- [Stable Diffusion] Coincé chez Unet: courir en mode EPS-Prédiction
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How to use safetensors locally (optimized-sd)?
Ah, I wasn't aware of that. I use this version, which was very easy to set up and use by CLI.
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[Stable Diffusion] stabile Diffusion 1.4 - CUDA-Speicherfehler
Used repo recommended in https://github.com/CompVis/stable-diffusion/issues/39 to use https://github.com/basujindal/stable-diffusion - same result.
- [Stable Diffusion] Aide avec Cuda hors de mémoire
- [Stable Diffusion] Comment créer notre propre modèle?
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Help installing optimisedSD please. Thank you so much!
As per the best solution I found, I have download this (https://github.com/basujindal/stable-diffusion) version and pasted the optimizedSD folder in the main (user>stable-diffusion-webui) folder as per site instruction.
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Stable Diffusion Web UI: Using Optimized SD Post-Installation
The git says you can simply grab the OptimizedSD folder and paste it into the installation path, which I did. However, I'm not sure how to call upon its functionality. Again, the reddit post says >Remember to call the optimized python script python optimizedSD/optimized_txt2img.py instead of standard scripts/txt2img. Though I'm not even sure where that script call is performed. Any ideas? Thanks in advance!
- [Stablediffusion] diffusion stable 1.4 - Erreur CUDA de mémoire insuffisante
What are some alternatives?
stable-diffusion
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion-webui - Stable Diffusion web UI
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
diffusers-uncensored - Uncensored fork of diffusers
diffusers - AMD ONNX port of 🤗 Diffusers: State-of-the-art diffusion models
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
stable-diffusion
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI