modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "stable_diffusion/stable-diffusion-v1-5/*" --local_dir ./data/diffsynth_example_dataset

# Stage 1: cache deterministic preprocessing outputs.
accelerate launch examples/stable_diffusion/model_training/train.py \
  --dataset_base_path data/diffsynth_example_dataset/stable_diffusion/stable-diffusion-v1-5 \
  --dataset_metadata_path data/diffsynth_example_dataset/stable_diffusion/stable-diffusion-v1-5/metadata.csv \
  --height 512 \
  --width 512 \
  --dataset_repeat 1 \
  --model_id_with_origin_paths AI-ModelScope/stable-diffusion-v1-5:text_encoder/model.safetensors,AI-ModelScope/stable-diffusion-v1-5:unet/diffusion_pytorch_model.safetensors,AI-ModelScope/stable-diffusion-v1-5:vae/diffusion_pytorch_model.safetensors \
  --learning_rate 1e-4 \
  --num_epochs 5 \
  --remove_prefix_in_ckpt pipe.unet. \
  --output_path ./models/train/stable-diffusion-v1-5_split_cache \
  --lora_base_model unet \
  --lora_target_modules '' \
  --lora_rank 32 \
  --use_gradient_checkpointing \
  --offload_models AI-ModelScope/stable-diffusion-v1-5:unet/diffusion_pytorch_model.safetensors \
  --task sft:data_process

# Stage 2: train LoRA from the cached dataset.
accelerate launch examples/stable_diffusion/model_training/train.py \
  --dataset_base_path ./models/train/stable-diffusion-v1-5_split_cache \
  --height 512 \
  --width 512 \
  --dataset_repeat 50 \
  --model_id_with_origin_paths AI-ModelScope/stable-diffusion-v1-5:text_encoder/model.safetensors,AI-ModelScope/stable-diffusion-v1-5:unet/diffusion_pytorch_model.safetensors,AI-ModelScope/stable-diffusion-v1-5:vae/diffusion_pytorch_model.safetensors \
  --learning_rate 1e-4 \
  --num_epochs 5 \
  --remove_prefix_in_ckpt pipe.unet. \
  --output_path ./models/train/stable-diffusion-v1-5_split \
  --lora_base_model unet \
  --lora_target_modules '' \
  --lora_rank 32 \
  --use_gradient_checkpointing \
  --offload_models AI-ModelScope/stable-diffusion-v1-5:text_encoder/model.safetensors,AI-ModelScope/stable-diffusion-v1-5:vae/diffusion_pytorch_model.safetensors \
  --task sft:train