# `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](https://jfischoff.github.io/blog/diff-loss.html)

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license: openrail
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