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Description
I am using Stable Diffusion in this branch to generate images, but I get an error when I try to generate a 768x512 size image.
The code to generate the image is as follows
prompt = "1girl, \
blue eyes, \
cat ears, \
full body, \
looking at viewer, \
school uniform, \
simple background, \
silver long hair, \
under rim eyewear, \
white background"
image = pipe(prompt, height=768, width=512, num_inference_steps=50, guidance_scale=7.5, eta=0.0, execution_provider="DmlExecutionProvider")["sample"][0]Running this code returns the following error
Traceback (most recent call last):
File "C:\Users\hoge\stable-diffusion-dml-branch\dml_onnx.py", line 261, in <module>
image = pipe(prompt, height=768, width=512, num_inference_steps=50, guidance_scale=7.5, eta=0.0, execution_provider="DmlExecutionProvider")["sample"][0]
File "C:\Users\hoge\AppData\Roaming\Python\Python39\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Users\hoge\stable-diffusion-dml-branch\dml_onnx.py", line 171, in __call__
noise_pred = unet_sess.run(None, inp)[0]
File "C:\Users\hoge\AppData\Roaming\Python\Python39\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 200, in run
return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Got invalid dimensions for input: latent_model_input for the following indices
index: 2 Got: 96 Expected: 64
Please fix either the inputs or the model.I think it conflicts with the setting of the example code in examples/inference/dml_onnx.py, but due to my lack of knowledge I cannot determine the cause.
Please let me know how to generate a 768x512 sized image with Stable Diffusion in this branch.
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