38 lines
1.1 KiB
Bash
38 lines
1.1 KiB
Bash
export WANDB_BASE_URL="https://api.wandb.ai"
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export WANDB_MODE=online
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torchrun --nnodes 1 --nproc_per_node 2 \
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fastvideo/train.py \
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--seed 42 \
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--pretrained_model_name_or_path data/mochi \
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--cache_dir data/.cache \
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--data_json_path data/Mochi-Black-Myth/videos2caption.json \
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--validation_prompt_dir data/Mochi-Black-Myth/validation \
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--gradient_checkpointing \
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--train_batch_size 1 \
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--num_latent_t 14 \
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--sp_size 2 \
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--train_sp_batch_size 1 \
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--dataloader_num_workers 1 \
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--gradient_accumulation_steps 2 \
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--max_train_steps 2000 \
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--learning_rate 5e-6 \
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--mixed_precision bf16 \
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--checkpointing_steps 200 \
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--validation_steps 100 \
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--validation_sampling_steps 64 \
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--checkpoints_total_limit 3 \
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--allow_tf32 \
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--ema_start_step 0 \
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--cfg 0.0 \
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--ema_decay 0.999 \
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--log_validation \
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--output_dir=data/outputs/Black-Myth-Lora-FT \
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--tracker_project_name Black-Myth-Lora-Finetune \
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--num_frames 91 \
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--lora_rank 128 \
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--lora_alpha 256 \
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--master_weight_type "bf16" \
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--use_lora \
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--use_cpu_offload
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