65 lines
1.8 KiB
Bash
65 lines
1.8 KiB
Bash
#!/bin/bash
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#SBATCH --job-name=hyhf-lora-5e6-r32
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#SBATCH --partition=mbzuai
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#SBATCH --nodes=1
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#SBATCH --ntasks-per-node=8
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#SBATCH --gres=gpu:8
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#SBATCH --cpus-per-task=4
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#SBATCH --mem=512G
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#SBATCH --output=slurm_log/slurm.out
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#SBATCH --error=slurm_log/slurm.err
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#SBATCH --exclusive
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#SBATCH --time=72:00:00
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PYTHON_VIRTUAL_ENVIRONMENT=fastvideo
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conda activate $PYTHON_VIRTUAL_ENVIRONMENT
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echo " "
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echo " Number of nodes:= " $SLURM_JOB_NUM_NODES
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echo " GPUs per node:= " $SLURM_JOB_GPUS
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echo " Running on multiple nodes/GPU devices"
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echo ""
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echo " Run started at:- "
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date
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cd ~/yongqi/FastVideo
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export MASTER_PORT=29803
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torchrun --nnodes 1 --nproc_per_node 8 --master_port $MASTER_PORT \
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fastvideo/train.py \
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--seed 1024 \
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--pretrained_model_name_or_path ~/data/hunyuan_diffusers \
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--model_type hunyuan_hf \
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--cache_dir data/.cache \
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--data_json_path ~/data/HD-MixKit-Hunyuan-Distill-125x768x1280/videos2caption.json \
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--validation_prompt_dir ~/data/HD-MixKit-Hunyuan-Distill-125x768x1280/validation \
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--gradient_checkpointing \
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--train_batch_size 4 \
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--num_latent_t 32 \
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--sp_size 8 \
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--train_sp_batch_size 1 \
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--dataloader_num_workers 4 \
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--gradient_accumulation_steps 1 \
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--max_train_steps 8000 \
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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 50 \
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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/SBA_lora_5e6_r32 \
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--tracker_project_name SBA \
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--num_frames 125 \
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--num_width 1280 \
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--num_height 768 \
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--validation_guidance_scale "1.0" \
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--use_lora \
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--lora_rank 32 \
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--lora_alpha 64
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echo "Run completed at:- "
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date |