stable-diffusion
stable-diffusion-rocm-docker
stable-diffusion | stable-diffusion-rocm-docker | |
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26 | 4 | |
203 | 113 | |
- | - | |
0.0 | 3.7 | |
over 1 year ago | 12 months ago | |
Jupyter Notebook | Dockerfile | |
GNU General Public License v3.0 or later | - |
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stable-diffusion
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Trying to merge model checkpoints and getting an error
Looks like Doggettx is a fork of CompVis/stable-diffusion, as a proof of concept:
- Stable Diffusion links from around September 11, 2022 that I collected for further processing
- Stable Diffusion for AMD GPUs on Windows using DirectML (Txt2Img, Img2Img & Inpainting) easy to setup (Python + Git)
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Has anyone made a commandline client to use Automatic1111's version of Stable Diffusion over the network?
Don't use a UI if you want terminal access. Use a project meant for terminal. https://github.com/Doggettx/stable-diffusion/tree/autocast-improvements
- Looking at cheap high VRAM old tesla cards to run stable diffusion at high res!
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Looking for a script I saw mentioned but can't find. Prompt Editing over Steps
The feature is just called prompt editing or prompt2prompt. It is also implemented in the Automatic1111 webui.
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Any way to fix this?
Depends on what fork you are using but its just means you are running out of vram since it states you only have 4gb of it. You may need to use the optimizedsd scripts and use the Doggettx's attention.py, you can find this in ldm/modules/attention.py (I personally have 2 of those in my own folder since I need to switch them but typically you require 6gb min for sd.
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Jabba The Hutt as a newborn
I installed SD from the CompVis GitHub repo and then swapped in modifications (namely attention.py and main.py) done by u/Doggettx that can be found here to overcome CUDA Out Of Memory issues. Going to try larger image sizes next. I wish you all good luck with concentrating on real work with this imaginatron around! ðŸ¤
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Stable Diffusion Gui Benchmark Results: Loading... Generated 1 image in 5.58s (20/20)
using optimized attention.py and model.py from this github issue.
- This community continues to blow me away. 8 days ago I was amazed by my 1408 x 960 resolution image. With all the new features I'm now doing 6 megapixel native output (3072x2048). That's 24 times more pixels than 512x512. Full workflow in comments.
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 ) .
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
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
stable-diffusion-webui - Stable Diffusion web UI
diffusers - AMD ONNX port of 🤗 Diffusers: State-of-the-art diffusion models
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion
dream-textures - Stable Diffusion built-in to Blender
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM