OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2024-12-29 19:05:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

Updated Xformers (markdown)

ClashSAN 2022-10-09 17:24:49 +00:00
parent 589e4a3c8d
commit 58fe49f974
1 changed files with 56 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

57
Xformers.md

@ -4,7 +4,7 @@ There are no binaries for Windows except for one specific configuration, but you
A guide from an anonymous user, although I think it is for building on Linux:
GUIDE ON HOW TO BUILD XFORMERS
GUIDES ON HOW TO BUILD XFORMERS
also includes how to uncuck yourself from sm86 restriction on voldy's new commit
1. go to the webui directory
@ -16,6 +16,61 @@ also includes how to uncuck yourself from sm86 restriction on voldy's new commit
6. `pip install -r requirements.txt`
7. `pip install -e .`
## Building xFormers on Windows by @duckness
1. [Install VS Build Tools 2022](https://visualstudio.microsoft.com/downloads/?q=build+tools#build-tools-for-visual-studio-2022), you only need `Desktop development with C++`
![setup_COFbK0AJAZ](https://user-images.githubusercontent.com/6380270/194767872-232136a1-9204-4b16-ae21-3e01f6f526ea.png)
2. [Install CUDA 11.3](https://developer.nvidia.com/cuda-11.3.0-download-archive) (later versions are not tested), select custom, you only need the following (VS integration is probably unecessary):
![setup_QwCdsQ28FM](https://user-images.githubusercontent.com/6380270/194767963-6df7ce14-e6eb-4718-8e93-a11abf172f14.png)
3. Clone the [xFormers repo](https://github.com/facebookresearch/xformers), create a `venv` and activate it
```sh
git clone https://github.com/facebookresearch/xformers.git
cd xformers
python -m venv venv
./venv/scripts/activate
```
4. To avoid issues with getting the CPU version, [install pyTorch seperately](https://pytorch.org/get-started/locally/):
```sh
pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu113
```
5. Then install the rest of the dependencies:
```sh
pip install -r requirements.txt
pip install wheel
```
6. As CUDA 11.3 is rather old, you need to force enable it to be built on MS Build Tools 2022. Do `$env:NVCC_FLAGS = "-allow-unsupported-compiler"` if on `powershell`, or `set NVCC_FLAGS=-allow-unsupported-compiler` if on `cmd`
7. You can finally build xFormers, note that the build will take a long time (probably 10-20minutes), it may initially complain of some errors but it should still compile correctly.
```sh
python setup.py build
python setup.py bdist_wheel
```
9. In `xformers` directory, navigate to the `dist` folder and copy the `.whl` file to the base directory of `stable-diffusion-webui`
10. In `stable-diffusion-webui` directory, install the `.whl`, change the name of the file in the command below if the name is different:
```sh
./venv/scripts/activate
pip install xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl
```
11. Ensure that `xformers` is activated by launching `stable-diffusion-webui` with `--force-enable-xformers`
If you encounter some error about torch not being built with your cuda version blah blah, then try:
`pip install setuptools==49.6.0`