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[SDXL LoRA] fix batch size lora #4509

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merged 1 commit into from
Aug 7, 2023
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[SDXL LoRA] fix batch size lora #4509

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8 changes: 4 additions & 4 deletions examples/dreambooth/train_dreambooth_lora_sdxl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1103,11 +1103,11 @@ def compute_text_embeddings(prompt, text_encoders, tokenizers):
"time_ids": add_time_ids.repeat(elems_to_repeat, 1),
"text_embeds": unet_add_text_embeds.repeat(elems_to_repeat, 1),
}
prompt_embeds = prompt_embeds.repeat(elems_to_repeat, 1, 1)
prompt_embeds_input = prompt_embeds.repeat(elems_to_repeat, 1, 1)
model_pred = unet(
noisy_model_input,
timesteps,
prompt_embeds,
prompt_embeds_input,
added_cond_kwargs=unet_added_conditions,
).sample
else:
Expand All @@ -1119,9 +1119,9 @@ def compute_text_embeddings(prompt, text_encoders, tokenizers):
text_input_ids_list=[tokens_one, tokens_two],
)
unet_added_conditions.update({"text_embeds": pooled_prompt_embeds.repeat(elems_to_repeat, 1)})
prompt_embeds = prompt_embeds.repeat(elems_to_repeat, 1, 1)
prompt_embeds_input = prompt_embeds.repeat(elems_to_repeat, 1, 1)
model_pred = unet(
noisy_model_input, timesteps, prompt_embeds, added_cond_kwargs=unet_added_conditions
noisy_model_input, timesteps, prompt_embeds_input, added_cond_kwargs=unet_added_conditions
).sample

# Get the target for loss depending on the prediction type
Expand Down