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Add tooltips for DirectML & ONNX/Olive.

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This commit is contained in:
Seunghoon Lee
2024-02-04 14:48:48 +09:00
parent 36cb64eef6
commit b0553f6ccc
3 changed files with 25 additions and 5 deletions
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modules/shared.py
+4 -4
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@@ -389,9 +389,9 @@ options_templates.update(options_section(('cuda', "Compute Settings"), {
"directml_catch_nan": OptionInfo(False, "DirectML retry ops for NaN", gr.Checkbox, {"visible": devices.backend == "directml"}),
"olive_sep": OptionInfo("<h2>Olive</h2>", "", gr.HTML),
"olive_float16": OptionInfo(True, 'Olive use FP16 on optimization (will use FP32 if unchecked)'),
"olive_vae_encoder_float32": OptionInfo(False, 'Olive force FP32 for VAE Encoder (if Img2Img generates NaN, enable this option and remove previously optimized model)'),
"olive_static_dims": OptionInfo(True, 'Olive use static dimensions (make inference faster with OrtTransformersOptimization)'),
"olive_float16": OptionInfo(True, 'Olive use FP16 on optimization'),
"olive_vae_encoder_float32": OptionInfo(False, 'Olive force FP32 for VAE Encoder'),
"olive_static_dims": OptionInfo(True, 'Olive use static dimensions'),
"olive_cache_optimized": OptionInfo(True, 'Olive cache optimized models'),
}))
@@ -446,7 +446,7 @@ options_templates.update(options_section(('diffusers', "Diffusers Settings"), {
"onnx_sep": OptionInfo("<h2>ONNX Runtime</h2>", "", gr.HTML),
"onnx_execution_provider": OptionInfo(get_default_execution_provider().value, 'Execution Provider', gr.Dropdown, lambda: {"choices": available_execution_providers }),
"onnx_show_menu": OptionInfo(False, 'ONNX show onnx-specific menu (restart required)'),
"onnx_show_menu": OptionInfo(False, 'ONNX show onnx-specific menu'),
"onnx_cache_converted": OptionInfo(True, 'ONNX cache converted models'),
"onnx_unload_base": OptionInfo(False, 'ONNX unload base model when processing refiner'),
}))