Not enough memory resources are available to complete this operation

[ItCameFr0mMars]

onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Exception during initialization: D:\a\_work\1\s\onnxruntime\core\providers\dml\DmlExecutionProvider\src\ExecutionProvider.cpp(563)\onnxruntime_pybind11_state.pyd!00007FF97CC08B01: (caller: 00007FF97CC088A2) Exception(2) tid(4dc0) 8007000E Not enough memory resources are available to complete this operation.
I have 16 gigs of ram, tried This, but the error still happens. any ideas?

[azuritecoin]

What are your system specs? 16 GB of system RAM should be enough to run the conversion scripts on your CPU.

[ItCameFr0mMars]

@azuritecoin I forgot to mention that it was when attempting to generate an image; my bad. My GPU is an AMD Ryzen 3 3200G With Radeon Vega Graphics

[azuritecoin]

aaahhhh.... integrated graphics is iffy at best. It's probably better and faster if you run it as --cpu-only.

[ItCameFr0mMars]

@azuritecoin
To create a public link, set share=True in launch().
Traceback (most recent call last):

  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\routes.py", line 337, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\blocks.py", line 1015, in process_api
    result = await self.call_function(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\blocks.py", line 833, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
    return await future
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
    result = context.run(func, *args)
  File "D:\stable diff\onnxUI.py", line 382, in generate_click
    pipe = OnnxStableDiffusionPipeline.from_pretrained(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 755, in from_pretrained
    raise ValueError(
ValueError: Pipeline <class 'diffusers.pipelines.stable_diffusion.pipeline_onnx_stable_diffusion.OnnxStableDiffusionPipeline'> expected {'scheduler', 'text_encoder', 'vae_encoder', 'vae_decoder', 'tokenizer', 'safety_checker', 'feature_extractor', 'unet'}, but only {'text_encoder', 'tokenizer', 'safety_checker', 'scheduler', 'feature_extractor', 'unet'} were passed.

[ItCameFr0mMars]

@azuritecoin this is with --cpu-only flag

[azuritecoin]

When was the last time you updated the UI scripts? You shouldn't see that error

[ItCameFr0mMars]

@azuritecoin I updated with setup.bat -update and got this error:

Traceback (most recent call last):
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\routes.py", line 337, in run_predict
    output = await app.get_blocks().process_api(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\blocks.py", line 1015, in process_api
    result = await self.call_function(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\gradio\blocks.py", line 833, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
    return await future
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
    result = context.run(func, *args)
  File "D:\stable diff\onnxUI.py", line 501, in generate_click
    pipe = OnnxStableDiffusionPipeline.from_pretrained(
  File "C:\Users\username\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 755, in from_pretrained
    raise ValueError(
ValueError: Pipeline <class 'diffusers.pipelines.stable_diffusion.pipeline_onnx_stable_diffusion.OnnxStableDiffusionPipeline'> expected {'text_encoder', 'tokenizer', 'vae_decoder', 'feature_extractor', 'safety_checker', 'unet', 'scheduler', 'vae_encoder'}, but only {'text_encoder', 'tokenizer', 'feature_extractor', 'safety_checker', 'unet', 'scheduler'} were passed.

[azuritecoin]

What model are you using? and when did you convert the model? There has been a change since diffusers 0.10.0 where you need to have the 'vae_decoder' in the model.

[azuritecoin]

Since you're having this much trouble with ONNX based Stable Diffusion, you could try Automatic1111's WebUI instead. It also has a cpu only mode and you can use the .ckpt models directly.