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https://github.com/storytold/FineTrainers-Conditioning.git
synced 2026-10-09 00:09:45 +00:00
Aryan
49 lines
1.4 KiB
Bash
Executable File
49 lines
1.4 KiB
Bash
Executable File
#!/bin/bash
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MODEL_ID="THUDM/CogVideoX-2b"
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NUM_GPUS=8
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# For more details on the expected data format, please refer to the README.
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DATA_ROOT="/path/to/my/datasets/video-dataset" # This needs to be the path to the base directory where your videos are located.
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CAPTION_COLUMN="prompt.txt"
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VIDEO_COLUMN="videos.txt"
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OUTPUT_DIR="/path/to/my/datasets/preprocessed-dataset"
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HEIGHT_BUCKETS="480 720"
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WIDTH_BUCKETS="720 960"
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FRAME_BUCKETS="49"
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MAX_NUM_FRAMES="49"
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MAX_SEQUENCE_LENGTH=226
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TARGET_FPS=8
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BATCH_SIZE=1
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DTYPE=fp32
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# To create a folder-style dataset structure without pre-encoding videos and captions
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# For Image-to-Video finetuning, make sure to pass `--save_image_latents`
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CMD_WITHOUT_PRE_ENCODING="\
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torchrun --nproc_per_node=$NUM_GPUS \
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training/prepare_dataset.py \
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--model_id $MODEL_ID \
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--data_root $DATA_ROOT \
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--caption_column $CAPTION_COLUMN \
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--video_column $VIDEO_COLUMN \
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--output_dir $OUTPUT_DIR \
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--height_buckets $HEIGHT_BUCKETS \
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--width_buckets $WIDTH_BUCKETS \
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--frame_buckets $FRAME_BUCKETS \
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--max_num_frames $MAX_NUM_FRAMES \
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--max_sequence_length $MAX_SEQUENCE_LENGTH \
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--target_fps $TARGET_FPS \
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--batch_size $BATCH_SIZE \
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--dtype $DTYPE
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"
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CMD_WITH_PRE_ENCODING="$CMD_WITHOUT_PRE_ENCODING --save_tensors"
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# Select which you'd like to run
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CMD=$CMD_WITH_PRE_ENCODING
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echo "===== Running \`$CMD\` ====="
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eval $CMD
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echo -ne "===== Finished running script =====\n"
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