AMD GPU install issues in Win10 (probably user error)

[Symber13]

Edit: I'm just going to move to a Linux install rather than beat my head against this for so so performance.

---

I could use some help troubleshooting. I installed yesterday, though not without some problems. It's still a mostly clean install following this guide: https://community.amd.com/t5/ai/updated-how-to-running-optimized-automatic1111-stable-diffusion/ba-p/630252

Most of the issues I've had previously seemed to be install issues which I worked through, but now I'm getting this and it's less clear to me what needs fixing. There are some errors in there though it does manage to launch webui. I'm also unable to generate anything if I try a test, it starts to function before just giving a broken image link and an error. (Not that I actually expected anything to work with the errors in my Anaconda window).

Any tips? Other than switching to a Linux install... I can also post what it generates when I try to create an image, but I imagine that's not too useful. I think that issue is just caused by whatever the problem I'm having initilizing webui, since webui also knows theres an error.

(base) D:\AI\StableDiffusion\stable-diffusion-webui-directml>webui-user.bat
venv "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.6 | packaged by conda-forge | (main, Oct 24 2022, 16:02:16) [MSC v.1916 64 bit (AMD64)]
Version: 1.7.0
Commit hash: 4161f91465dcb9ba4b817230f607d7441bf6481b
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.0+cpu)
    Python  3.10.11 (you have 3.10.6)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details
D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\pytorch_lightning\utilities\distributed.py:258: LightningDeprecationWarning: `pytorch_lightning.utilities.distributed.rank_zero_only` has been deprecated in v1.8.1 and will be removed in v2.0.0. You can import it from `pytorch_lightning.utilities` instead.
  rank_zero_deprecation(
Launching Web UI with arguments: --use-directml --skip-torch-cuda-test --xformers --precision full --no-half
Style database not found: D:\AI\StableDiffusion\stable-diffusion-webui-directml\styles.csv
ONNX: selected=CUDAExecutionProvider, available=['DmlExecutionProvider', 'CPUExecutionProvider']
Loading weights [e1441589a6] from D:\AI\StableDiffusion\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned.ckpt
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 2.7s (prepare environment: 3.9s, initialize shared: 1.1s, load scripts: 0.8s, create ui: 0.4s, gradio launch: 0.2s).
ERROR:    Exception in ASGI application
Traceback (most recent call last):
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 152, in jsonable_encoder
    data = dict(obj)
TypeError: '_abc._abc_data' object is not iterable

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 157, in jsonable_encoder
    data = vars(obj)
TypeError: vars() argument must have __dict__ attribute

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\uvicorn\protocols\http\h11_impl.py", line 404, in run_asgi
    result = await app(  # type: ignore[func-returns-value]
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\uvicorn\middleware\proxy_headers.py", line 84, in __call__
    return await self.app(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\applications.py", line 273, in __call__
    await super().__call__(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\applications.py", line 122, in __call__
    await self.middleware_stack(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\errors.py", line 184, in __call__
    raise exc
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\errors.py", line 162, in __call__
    await self.app(scope, receive, _send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\cors.py", line 92, in __call__
    await self.simple_response(scope, receive, send, request_headers=headers)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\cors.py", line 147, in simple_response
    await self.app(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\gzip.py", line 24, in __call__
    await responder(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\gzip.py", line 44, in __call__
    await self.app(scope, receive, self.send_with_gzip)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\exceptions.py", line 79, in __call__
    raise exc
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\middleware\exceptions.py", line 68, in __call__
    await self.app(scope, receive, sender)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in __call__
    raise e
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\routing.py", line 718, in __call__
    await route.handle(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\routing.py", line 276, in handle
    await self.app(scope, receive, send)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\starlette\routing.py", line 66, in app
    response = await func(request)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\routing.py", line 255, in app
    content = await serialize_response(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\routing.py", line 152, in serialize_response
    return jsonable_encoder(response_content)
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 117, in jsonable_encoder
    encoded_value = jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 131, in jsonable_encoder
    jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 117, in jsonable_encoder
    encoded_value = jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 117, in jsonable_encoder
    encoded_value = jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 161, in jsonable_encoder
    return jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 161, in jsonable_encoder
    return jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 117, in jsonable_encoder
    encoded_value = jsonable_encoder(
  File "D:\AI\StableDiffusion\stable-diffusion-webui-directml\venv\lib\site-packages\fastapi\encoders.py", line 160, in jsonable_encoder
    raise ValueError(errors) from e
ValueError: [TypeError("'_abc._abc_data' object is not iterable"), TypeError('vars() argument must have __dict__ attribute')]
Creating model from config: D:\AI\StableDiffusion\stable-diffusion-webui-directml\configs\v1-inference.yaml
Applying attention optimization: InvokeAI... done.
Model loaded in 7.9s (load weights from disk: 2.3s, create model: 0.2s, apply weights to model: 4.5s, move model to device: 0.6s, calculate empty prompt: 0.3s).

[tms369]

Why don't you use this instead?
https://github.com/lshqqytiger/stable-diffusion-webui-directml

[Symber13]

Thank you for the link, sorry for the late reply. I moved over to Linux Mint instead and it's been a huge improvement. Judging by what I know now though, this would have been a good solution!