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1e-5 is a really fast learning rate so less training steps required to learn the concept you're training on so 4k steps might be way too high for 40 images, the text encoder is a bit hard to have a set number to train on again 650 is a lot for 40 images but this really depends on if your style is coming through with your token if its not you probably need more training to the text encoder, concept training steps seems like 1000 is a good start for your 1300 images, and I havnt used style training more than once but I'm pretty sure its right to do it after training the unet for a bit as it doesn't pass the token to the textual embedding helping to not overfit the model. Hope this helps and…

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@Bonjonbon
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