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Satisfy ruff
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import torch
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class EpsilonScaling:
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class EpsilonScaling:
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"""
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"""
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Implements the Epsilon Scaling method from 'Elucidating the Exposure Bias in Diffusion Models'
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Implements the Epsilon Scaling method from 'Elucidating the Exposure Bias in Diffusion Models'
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(https://arxiv.org/abs/2308.15321v6).
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(https://arxiv.org/abs/2308.15321v6).
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This method mitigates exposure bias by scaling the predicted noise during sampling,
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This method mitigates exposure bias by scaling the predicted noise during sampling,
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which can significantly improve sample quality. This implementation uses the "uniform schedule"
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which can significantly improve sample quality. This implementation uses the "uniform schedule"
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recommended by the paper for its practicality and effectiveness.
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recommended by the paper for its practicality and effectiveness.
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"""
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"""
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@ -59,4 +57,4 @@ class EpsilonScaling:
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NODE_CLASS_MAPPINGS = {
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NODE_CLASS_MAPPINGS = {
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"Epsilon Scaling": EpsilonScaling
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"Epsilon Scaling": EpsilonScaling
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}
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}
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