fix min-snr implementation #8466
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sayakpaul
reviewed
Jun 11, 2024
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@ethansmith2000 a gentle ping :) |
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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What does this PR do?
Fixes the implementation of min-snr training for v-prediction models
Based on implementation seen here.
https://github.com/kohya-ss/sd-scripts/blob/main/library/custom_train_functions.py#L66
These two graphs show the weight scheme based on timestep from the kohya implementation.
the current implementation in diffusers takes the eps weight and increases everything by + 1, it appears that the +1 should be relocated to the denominator