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https://github.com/vladmandic/automatic
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Update OpenVINO
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+1
-1
@@ -496,7 +496,7 @@ def check_torch():
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if opts.get('cuda_compile_backend', '') == 'hidet':
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install('hidet', 'hidet')
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if args.use_openvino or opts.get('cuda_compile_backend', '') == 'openvino_fx':
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install('openvino==2023.1.0.dev20230811', 'openvino')
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install('openvino==2023.1.0', 'openvino')
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os.environ.setdefault('PYTORCH_TRACING_MODE', 'TORCHFX')
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if args.profile:
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print_profile(pr, 'Torch')
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+1
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@@ -443,7 +443,7 @@ options_templates.update(options_section(('diffusers', "Diffusers Settings"), {
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"diffusers_attention_slicing": OptionInfo(True if devices.backend == "ipex" else False, "Enable attention slicing"),
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"diffusers_model_load_variant": OptionInfo("default", "Diffusers model loading variant", gr.Radio, lambda: {"choices": ['default', 'fp32', 'fp16']}),
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"diffusers_vae_load_variant": OptionInfo("default", "Diffusers VAE loading variant", gr.Radio, lambda: {"choices": ['default', 'fp32', 'fp16']}),
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"diffusers_lora_loader": OptionInfo("sequential apply", "Diffusers LoRA loading variant", gr.Radio, lambda: {"choices": ['diffusers', 'sequential apply', 'merge and apply']}),
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"diffusers_lora_loader": OptionInfo("diffusers" if cmd_opts.use_openvino else "sequential apply", "Diffusers LoRA loading variant", gr.Radio, lambda: {"choices": ['diffusers', 'sequential apply', 'merge and apply']}),
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"diffusers_force_zeros": OptionInfo(True, "Force zeros for prompts when empty"),
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"diffusers_aesthetics_score": OptionInfo(False, "Require aesthetics score"),
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}))
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