# DisMo

Files needed:
data/.tar
our-unclip/inference.pt
dismo/.hydra/config.yaml
dismo/inference.pt



python ltx_train.py --base video_model_finetuning/ltx_video.yaml --n_gpus 1 --n_nodes 1 --bs 2 --lr 0.00005 --wd 0.005 --precision '32' --log . --wandb_offline true --ckpt_every 20 "lightning.val_check_interval=10"

RUN_NAME="my_experiment" RUN_IDX=0 BATCH_SIZE=8 OUT_DIR="./outputs/${RUN_NAME}/checkpoints" WANDB_NAME="my_experiment-8" WANDB_RUN_ID="my_experiment-8" torchrun --standalone --nproc_per_node=1   train.py  experiment=final_model             per_device_train_batch_size=8             out_dir=$OUT_DIR/$RUN_IDX
