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export WANDB_KEY=""
export ENTITY=""
export PROJECT="t2v-f16s3-img4-128-imgvae188-bf16-gc-xformers"
accelerate launch \
--config_file scripts/accelerate_configs/deepspeed_zero2_config.yaml \
opensora/train/train_t2v.py \
--model LatteT2V-XL/122 \
--text_encoder_name DeepFloyd/t5-v1_1-xxl \
--dataset t2v \
--ae stabilityai/sd-vae-ft-mse \
--data_path /remote-home1/dataset/sharegpt4v_path_cap_.json \
--video_folder /remote-home1/dataset/data_split \
--sample_rate 1 \
--num_frames 17 \
--max_image_size 256 \
--gradient_checkpointing \
--attention_mode xformers \
--train_batch_size=4 \
--dataloader_num_workers 10 \
--gradient_accumulation_steps=1 \
--max_train_steps=1000000 \
--learning_rate=2e-05 \
--lr_scheduler="constant" \
--lr_warmup_steps=0 \
--mixed_precision="bf16" \
--report_to="wandb" \
--checkpointing_steps=500 \
--output_dir="t2v-f17-256-img4-imagevae488-bf16-ckpt-xformers-bs4-lr2e-5-t5" \
--allow_tf32 \
--pretrained t2v.pt \
--use_deepspeed \
--model_max_length 300 \
--use_image_num 4 \
--use_img_from_vid
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