67 lines
2.4 KiB
Bash
67 lines
2.4 KiB
Bash
export WANDB_BASE_URL="https://api.wandb.ai"
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export WANDB_MODE=offline
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export WANDB_API_KEY='73190d8c0de18a14eb3444e222f9432d247d1e30'
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# export FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA
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export TRITON_CACHE_DIR=/tmp/triton_cache
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DATA_DIR=/mnt/sharefs/users/hao.zhang/Vchitect-2M/Wan-Syn/latents_i2v/val/
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# DATA_DIR=/mnt/sharefs/users/hao.zhang/Vchitect-2M/Vchitect-2M-laten-93x512x512/val/
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VALIDATION_DIR=/mnt/sharefs/users/hao.zhang/Vchitect-2M/mixkit/validation_8.json
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NUM_GPUS=8
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export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
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# export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
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# export CUDA_VISIBLE_DEVICES=4,5
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# IP=[MASTER NODE IP]
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export TOKENIZERS_PARALLELISM=false
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CHECKPOINT_PATH="outputs_train_test/wan_finetune/checkpoint-10"
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# If you do not have 32 GPUs and to fit in memory, you can: 1. increase sp_size. 2. reduce num_latent_t
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torchrun --nnodes 1 --nproc_per_node $NUM_GPUS \
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fastvideo/v1/training/wan_distillation_pipeline.py \
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--model_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
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--inference_mode False\
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--pretrained_model_name_or_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
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--cache_dir "/home/ray/.cache" \
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--data_path "$DATA_DIR" \
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--validation_dataset_file "$VALIDATION_DIR" \
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--train_batch_size 1 \
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--num_latent_t 8 \
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--sp_size 1 \
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--tp_size 1 \
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--num_gpus $NUM_GPUS \
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--hsdp_replicate_dim $NUM_GPUS \
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--hsdp-shard-dim 1 \
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--train_sp_batch_size 1 \
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--dataloader_num_workers 0 \
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--gradient_accumulation_steps 16 \
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--max_train_steps 3000 \
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--learning_rate 4e-6 \
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--mixed_precision "bf16" \
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--checkpointing_steps 10 \
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--validation_steps 10 \
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--validation_sampling_steps "3" \
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--log_validation \
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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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--training_cfg_rate 0.0 \
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--output_dir "outputs_dmd/wan_finetune" \
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--tracker_project_name Wan_distillation \
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--num_height 448 \
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--num_width 832 \
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--num_frames 29 \
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--flow_shift 8 \
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--validation_guidance_scale "1.0" \
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--master_weight_type "fp32" \
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--dit_precision "fp32" \
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--vae_precision "bf16" \
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--weight_decay 0.01 \
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--max_grad_norm 1.0 \
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--student_critic_update_ratio 5 \
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--denoising_step_list '1000,757,522' \
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--min_step_ratio 0.02 \
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--max_step_ratio 0.98 \
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--teacher_guidance_scale 3.5 \
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--enable_gradient_checkpointing_type "full" \
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--seed 1000 \
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# validation_preprocessed_path |