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https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
update logging
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@@ -11,7 +11,7 @@ def load_auraflow(checkpoint_info, diffusers_load_config={}):
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repo_id = sd_models.path_to_repo(checkpoint_info.name)
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if 'torch_dtype' not in diffusers_load_config:
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diffusers_load_config['torch_dtype'] = torch.float16
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debug(f'Loading AuraFlow: repo="{repo_id}" config={diffusers_load_config}')
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debug(f'Load model: type=AuraFlow repo="{repo_id}" config={diffusers_load_config}')
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pipe = diffusers.AuraFlowPipeline.from_pretrained(
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repo_id,
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cache_dir = shared.opts.diffusers_dir,
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