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File "xxx/canny/pipeline_onnx_stable_diffusion_controlnet.py", line 723, in call blocksamples = self.controlnet( File "xxx/miniconda3/envs/ort/lib/python3.10/site-packages/diffusers/pipelines/onnx_utils.py", line 60, in call return self.model.run(None, inputs) File "xxx/miniconda3/envs/ort/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Unexpected input data type. Actual: (tensor(int64)) , expected: (tensor(float))
The text was updated successfully, but these errors were encountered:
Hey, sorry for the late reply. This repo isn't really being maintained, but you can take a look at https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16 which should have the most up-to-date version of the the pipeline.
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File "xxx/canny/pipeline_onnx_stable_diffusion_controlnet.py", line 723, in call
blocksamples = self.controlnet(
File "xxx/miniconda3/envs/ort/lib/python3.10/site-packages/diffusers/pipelines/onnx_utils.py", line 60, in call
return self.model.run(None, inputs)
File "xxx/miniconda3/envs/ort/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run
return self._sess.run(output_names, input_feed, run_options)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Unexpected input data type. Actual: (tensor(int64)) , expected: (tensor(float))
The text was updated successfully, but these errors were encountered: