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diff_loss_mid_down_blocks
jfischoff/diff_loss_mid_down_blocks
diff_loss_mid_down_blocks is a machine learning model from jfischoff. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is model is a demonstration of an alternative loss function for video training, diffloss. Unlike the typical frame by frame reconstruction loss, diffloss ensures the frame by frame differences of the target and p…
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Updated Nov 13, 2023
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- Access
- Public
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023
- SHA
- ccaa4d6d
Model card
From the Hugging Face model README
diff_loss_mid_down_blocks
This is model is a demonstration of an alternative loss function for video training, diff_loss. Unlike the typical frame by frame reconstruction loss, diff_loss ensures the frame by frame differences of the target and predicted noise are the same.
This model is a fine-tuned version of the AD 1.5 v2 model. It was trainined for 3600 steps with LR of 9e-7 and a batch size of 16. Only the down and mid blocks were trained.
For more details about this model see the associated blog post here
license: openrail
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023