27 lines
950 B
Bash
27 lines
950 B
Bash
export WANDB_KEY=""
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export ENTITY=""
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export PROJECT="t2v-f17s3-128-causalvideovae444-bf16-ckpt-xformers"
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accelerate launch \
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--config_file scripts/accelerate_configs/ddp_config.yaml \
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opensora/train/train_t2v.py \
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--model LatteT2V-XL/122 \
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--text_encoder_name DeepFloyd/t5-v1_1-xxl \
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--dataset t2v \
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--ae CausalVQVAEModel_4x4x4 \
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--data_path /root/autodl-tmp/sea.csv \
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--video_folder /root/autodl-tmp/sea \
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--sample_rate 3 \
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--num_frames 17 \
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--max_image_size 128 \
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--gradient_checkpointing \
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--attention_mode xformers \
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--train_batch_size=8 --dataloader_num_workers 10 \
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--gradient_accumulation_steps=1 \
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--max_train_steps=1000000 \
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--learning_rate=1e-04 --lr_scheduler="constant" --lr_warmup_steps=0 \
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--mixed_precision="bf16" \
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--report_to="wandb" \
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--checkpointing_steps=500 \
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--output_dir="t2v-f17s3-128-causalvideovae444-bf16-ckpt-xformers" \
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--allow_tf32
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