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Update examples/dreambooth/train_dreambooth_lora_sana.py
Co-authored-by: Aryan <[email protected]>
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examples/dreambooth/train_dreambooth_lora_sana.py

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@@ -1370,7 +1370,6 @@ def get_sigmas(timesteps, n_dim=4, dtype=torch.float32):
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noisy_model_input = (1.0 - sigmas) * model_input + sigmas * noise
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# Predict the noise residual
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print(f"{noisy_model_input.dtype=}, {prompt_embeds.dtype=}")
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model_pred = transformer(
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hidden_states=noisy_model_input,
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encoder_hidden_states=prompt_embeds,

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