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hao-ai-lab-FastVideo/scripts/preprocess/v1_preprocess_wan_data_t2v.sh
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# export WANDB_MODE="offline"
GPU_NUM=1 # 2,4,8
MODEL_PATH="Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
MODEL_TYPE="wan"
DATA_MERGE_PATH="data/crush-smol/merge.txt"
OUTPUT_DIR="data/crush-smol/latents"
VALIDATION_PATH="assets/prompt.txt"
torchrun --nproc_per_node=$GPU_NUM \
fastvideo/data_preprocess/preprocess.py \
--model_path $MODEL_PATH \
--data_merge_path $DATA_MERGE_PATH \
--preprocess_video_batch_size 1 \
--max_height 480 \
--max_width 832 \
--num_frames 81 \
--dataloader_num_workers 0 \
--output_dir=$OUTPUT_DIR \
--model_type $MODEL_TYPE \
--train_fps 16 \
--validation_prompt_txt $VALIDATION_PATH \
--samples_per_file 1 \
--flush_frequency 1 \
--video_length_tolerance_range 5 \
--preprocess_task "t2v"