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https://github.com/storytold/FineTrainers-Conditioning.git
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Aryan
512a8a6854
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43 lines
1.2 KiB
Bash
Executable File
43 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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MODEL_ID="THUDM/CogVideoX-2b"
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# For more details on the expected data format, please refer to the README.
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DATA_ROOT="/raid/aryan/video-dataset-tom-and-jerry" # This needs to be the path to the base directory where your videos are located.
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CAPTION_COLUMN="prompts.txt"
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VIDEO_COLUMN="videos.txt"
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OUTPUT_DIR="/raid/aryan/video-dataset-tom-and-jerry-encoded"
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HEIGHT=480
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WIDTH=720
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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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CMD_WITHOUT_PRE_ENCODING="\
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python3 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 $HEIGHT \
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--width $WIDTH \
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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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