Ben

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did you experiment with learning_rate=1e-6 ? I'm testing the argument --train_text_encoder right now to make sure there is no memory error

@1blackbar you'll get the same results

by default the sample batch size is 4, and as for the new vae, it is already merged in the download model cell

1500 steps, 2e-6, 200 autogenerated class images, 28 instance images ![download (1](https://user-images.githubusercontent.com/110583491/197384923-6359d788-d72a-4975-a445-ad41bb1ef045.png) ![download (3)](https://user-images.githubusercontent.com/110583491/197384929-691264b7-2dc2-4c1c-9587-ed7f38c5df7a.png) ![download (4)](https://user-images.githubusercontent.com/110583491/197384932-9a8920eb-915d-4f3e-bb23-fe625e3483f0.png) ![download (5)](https://user-images.githubusercontent.com/110583491/197384939-114d6f40-54c4-4754-8893-0f3f24a0fabc.png)

remove the sd folder from your gdrive, AUT1111 repo was updated

I'll look into it

I've been trying to get it to work, but I'm getting some errors about syntax, any feedback would be great

probably a different gradio version ?