Ming Li commited on
Commit
baa2920
1 Parent(s): ee1fc39

update description

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  1. app.py +1 -1
app.py CHANGED
@@ -17,7 +17,7 @@ from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE
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  from transformers.utils.hub import move_cache
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  move_cache()
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- DESCRIPTION = "# [ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback](https://arxiv.org/abs/2404.07987) \n ### The first row in outputs is the input conditions. The second row is the images generated by ControlNet++. The third row is the conditions extracted from our generated images. Please note that we use the SD1.5 and use specific public datasets under various conditions, so the quality of the generated images may not be as good as models such as SDXL-based models"
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  if not torch.cuda.is_available():
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  DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
 
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  from transformers.utils.hub import move_cache
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  move_cache()
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+ DESCRIPTION = "# [ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback](https://arxiv.org/abs/2404.07987) \n ### The first row in outputs is the input conditions. The second row is the images generated by ControlNet++. The third row is the conditions extracted from our generated images. Please note that we use the SD1.5 and trained on specific public datasets, so the quality of the generated images may not be as good as models such as SDXL-based models, or trained on private datasets. For example, the image quality and resolution in the ADE20K dataset (Segmentation) are often poor"
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  if not torch.cuda.is_available():
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  DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"