[Misc] clean up VSA finetuning examples. (#1111)

Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This commit is contained in:
Zhang Peiyuan
2026-02-18 11:37:20 -08:00
committed by GitHub
co-authored by gemini-code-assist[bot]
parent 8e39ce38c9
commit 76d3ba69e0
9 changed files with 224 additions and 87 deletions
-63
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@@ -1,63 +0,0 @@
export WANDB_BASE_URL="https://api.wandb.ai"
export WANDB_MODE=offline
export WANDB_API_KEY='your_wandb_api_key'
export TOKENIZERS_PARALLELISM=false
# export FASTVIDEO_ATTENTION_BACKEND=TORCH_SDPA
export TRITON_CACHE_DIR=/tmp/triton_cache
DATA_DIR=~/train/
VALIDATION_DATASET_FILE=[your validation dataset file]
NUM_GPUS=8
export FASTVIDEO_ATTENTION_BACKEND=VIDEO_SPARSE_ATTN
# export FASTVIDEO_ATTENTION_BACKEND=FLASH_ATTN
# export CUDA_VISIBLE_DEVICES=4,5
# IP=[MASTER NODE IP]
CHECKPOINT_PATH="$DATA_DIR/outputs/wan_finetune/checkpoint-5"
# Make sure that num_latent_t is a multiple of sp_size
torchrun --nnodes 1 --nproc_per_node $NUM_GPUS \
fastvideo/training/wan_training_pipeline.py \
--model_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
--inference_mode False\
--pretrained_model_name_or_path Wan-AI/Wan2.1-T2V-1.3B-Diffusers \
--cache_dir "/home/ray/.cache" \
--data_path "$DATA_DIR" \
--validation_dataset_file "$VALIDATION_DATASET_FILE" \
--train_batch_size 1 \
--num_latent_t 16 \
--sp_size 1 \
--tp_size 1 \
--num_gpus $NUM_GPUS \
--hsdp_replicate_dim $NUM_GPUS \
--hsdp-shard-dim 1 \
--train_sp_batch_size 1 \
--dataloader_num_workers 4 \
--gradient_accumulation_steps 8 \
--max_train_steps 30000 \
--learning_rate 1e-6 \
--mixed_precision "bf16" \
--training_state_checkpointing_steps 6000 \
--validation_steps 100 \
--validation_sampling_steps "50" \
--log_validation \
--checkpoints_total_limit 3 \
--ema_start_step 0 \
--training_cfg_rate 0.0 \
--output_dir "$DATA_DIR/outputs/wan_finetune" \
--tracker_project_name VSA_finetune \
--num_height 448 \
--num_width 832 \
--num_frames 61 \
--flow_shift 3 \
--validation_guidance_scale "5.0" \
--num_euler_timesteps 50 \
--master_weight_type "fp32" \
--dit_precision "fp32" \
--weight_decay 0.01 \
--max_grad_norm 1.0 \
--VSA_decay_sparsity 0.9 \
--VSA_decay_rate 0.03 \
--VSA_decay_interval_steps 30 \
--VSA_val_sparsity 0.9 \
--enable_gradient_checkpointing_type "full"
# --resume_from_checkpoint "$CHECKPOINT_PATH"