Making large AI models cheaper, faster and more accessible
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python train_dreambooth.py \
--pretrained_model_name_or_path="/data/dreambooth/diffuser/stable-diffusion-v1-4" \
--instance_data_dir="/data/dreambooth/Teyvat/data" \
--output_dir="./weight_output" \
--instance_prompt="a photo of a dog" \
--resolution=512 \
--train_batch_size=1 \
--gradient_accumulation_steps=1 \
--learning_rate=5e-6 \
--lr_scheduler="constant" \
--lr_warmup_steps=0 \
--num_class_images=200 \