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https://github.com/vladmandic/automatic
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add onnxruntime-openvino support.
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+4
-3
@@ -16,20 +16,21 @@ submodels = ("text_encoder", "unet", "vae_encoder", "vae_decoder",)
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available_execution_providers = ort.get_available_providers()
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execution_provider = "CUDAExecutionProvider" if "CUDAExecutionProvider" in available_execution_providers else "CPUExecutionProvider"
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execution_provider_options = {
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"device_id": int(cmd_opts.device_id or 0),
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}
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execution_provider_options = {}
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if args.use_directml:
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execution_provider = "DmlExecutionProvider"
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execution_provider_options["device_id"] = int(cmd_opts.device_id or 0)
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elif args.use_rocm:
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if "ROCMExecutionProvider" in available_execution_providers:
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execution_provider = "ROCMExecutionProvider"
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execution_provider_options["device_id"] = int(cmd_opts.device_id or 0)
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execution_provider_options["tunable_op_enable"] = 1
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execution_provider_options["tunable_op_tuning_enable"] = 1
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else:
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log.warning("Currently, there's no pypi release for onnxruntime-rocm. Please download and install .whl file from https://download.onnxruntime.ai/ The inference will be fall back to CPU.")
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elif args.use_ipex or args.use_openvino:
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execution_provider = "OpenVINOExecutionProvider"
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execution_provider_options["device_type"] = "CPU" if any(openvino_cpu in cpu_module.lower() for cpu_module in cmd_opts.use_cpu for openvino_cpu in ["openvino", "all"]) else "GPU" + "_" + opts.cuda_dtype
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provider = (execution_provider, execution_provider_options,)
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class OnnxRuntimeModel(diffusers.OnnxRuntimeModel):
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