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https://github.com/vladmandic/automatic
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torch dynamic profiling
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+2
-2
@@ -54,7 +54,7 @@ def to_half(tensor, enable):
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def run_modelmerger(id_task, **kwargs): # pylint: disable=unused-argument
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shared.state.begin('merge')
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shared.state.begin('Merge')
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t0 = time.time()
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def fail(message):
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@@ -284,7 +284,7 @@ def run_modelconvert(model, checkpoint_formats, precision, conv_type, custom_nam
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"vae": vae_conv,
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"other": others_conv
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}
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shared.state.begin('convert')
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shared.state.begin('Convert')
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model_info = sd_models.checkpoints_list[model]
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shared.state.textinfo = f"Loading {model_info.filename}..."
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shared.log.info(f"Model convert loading: {model_info.filename}")
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