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Is it possible to train Textual Inversion embeddings using custom checkpoints?
(self.stable_diffusion)
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Thanks! Isn't it better to train the embeddng with the model I expect to use it with?
I don’t really understand the science behind it, but in my experience I’ve had much more success using basic models for training.
Also, I’ve found that LoRAs are generally much easier and faster to train than embeddings. Is there a reason you’re going for an embedding over a LoRA?