Add option for labeled samples
The dreambooth setup can be very useful for more general finetuning as show by the community with examples such as style fine tuning.
https://twitter.com/rainisto/status/1584112851446542336
I've been using an approach adding a label per image as form of regularization, it's especially useful outside of the instance class training where the dataset is more diverse
I've been able to get some very nice wave photos with this approach https://twitter.com/NicholasBardy/status/1586065285265530880
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cc @patil-suraj here
Hi, I add a --use_txt_as_label for you. And this PR is here: https://github.com/nbardy/diffusers/pull/1
This also adds model checkpointing now.
Gently ping again @patil-suraj
The docs for this PR live here. All of your documentation changes will be reflected on that endpoint.
Regarding checkpointing @patil-suraj do we need this for dreambooth still? Think it might make sense to add it no?
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