AyyMD Stable Diffuse v1.4 for Wangblows 10 (by anon)
When you want it to run on GNU\Linux, follow the ROCm guide. (https://rentry.org/sdamd)
Prerequisites
You have installed Python 3.x (min. 3.7)
A huggingface.co account (to generate and download the stable-diffusion v1.4 model)
Accepted terms of use for stable diffusion with your account (download will fail without it)
Installation
- Make a folder where you will download all stuff into
- Open Command Line (as Administrator, or it will fail later on because of symlinks)
- Clone special hack version by harishanand95
git clone https://github.com/harishanand95/diffusers.git
cd diffusers && git checkout dml && pip install -e .
pip install transformers ftfy scipy - Check for the newest nightly of onnx and download it (at time of writing it was "1.13.0.dev20220901005")
https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/ort-nightly-directml/overview/
If you are on Python 3.7 download the file that ends with
**-cp37-cp37m-win_amd64.whl
If you are on Python 3.8 download the file that ends with**-cp38-cp38-win_amd64.whl
If you are on Python 3.9 download the file that ends with**-cp39-cp39-win_amd64.whl
If you are on Python 3.10 download the file that ends with**-cp310-cp310-win_amd64.whl
- I still use Python 3.7 so for me it is:
ort_nightly_directml-1.13.0.dev20220901005-cp37-cp37m-win_amd64.whl - Download it and install it
pip install ort_nightly_directml-1.13.0.dev20220901005-cp37-cp37m-win_amd64.whl
An error message like this "ERROR: ort_nightly_directml-1.13.0.dev20220830001-cp38-cp38-win_amd64.whl is not a supported wheel on this platform." means that there is mismatch in python version and the downloaded package supported python version.
Generating a onnx-based stable-diffusion v1.4 model
- Go to folder "diffusers\examples\inference"
- Login via cli and generate a token (huggingface-cli was installed by transformers package)
huggingface-cli login
https://huggingface.co/settings/tokens - Start downloading and generating of stable-diffusion v1.4 model
python ./save_onnx.py
Generate a image
- Open dml_onnx.py with notepad and edit what you want to generate at the bottom of the file in "prompt" variable
- Default for testing is:
prompt = "a photo of an astronaut riding a horse on mars" - Save and execute with "python ./dml_onnx.py"
- After a bit of time you will get a png in the "diffusers\examples\inference" folder.
I have about ~3.30/it on my good ol AMD RX 480 and a image takes about "2:30 min". You should have a higher number.