| export CUDA_VISIBLE_DEVICES=0 | |
| EVAL_DIR=example_input_pairs | |
| MODEL_NAME=CogVideoX-5b-I2V | |
| OUT_DIR=outputs | |
| basename=eval_videos_dir | |
| mkdir -p $OUT_DIR | |
| for example_dir in $(ls -d $EVAL_DIR/*) | |
| do | |
| example_name=$(basename $example_dir) | |
| echo $example_name | |
| out_fn=$OUT_DIR/$example_name'.mp4' | |
| python Sci_Fi_frame_inbetweening.py \ | |
| --first_image=$example_dir/start.jpg \ | |
| --last_image=$example_dir/end.jpg \ | |
| --EF_Net_model_path='EF_Net/EF_Net.pt' \ | |
| --pretrained_model_name_or_path=$MODEL_NAME \ | |
| --prompt=$example_dir/prompt.txt \ | |
| --out_path=$out_fn \ | |
| --EF_Net_weights=1.0 \ | |
| done | |