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aigc-apps-VideoX-Fun/scripts/wan2.1_flex_forcing/train_ode.sh
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export MODEL_NAME="models/Diffusion_Transformer/Wan2.1-T2V-1.3B"
export DATASET_NAME=""
export ODE_DATA_META="datasets/ode_pairs_output/outputs.json"
# NCCL_IB_DISABLE=1 and NCCL_P2P_DISABLE=1 are used in multi nodes without RDMA.
# export NCCL_IB_DISABLE=1
# export NCCL_P2P_DISABLE=1
NCCL_DEBUG=INFO
accelerate launch --mixed_precision="bf16" --use_fsdp \
--fsdp_auto_wrap_policy TRANSFORMER_BASED_WRAP \
--fsdp_transformer_layer_cls_to_wrap=CasualWanAttentionBlock \
--fsdp_sharding_strategy "FULL_SHARD" --fsdp_state_dict_type=SHARDED_STATE_DICT \
--fsdp_backward_prefetch "BACKWARD_PRE" --fsdp_cpu_ram_efficient_loading False \
scripts/wan2.1_flex_forcing/train_ode.py \
--config_path="config/wan2.1/wan_civitai.yaml" \
--pretrained_model_name_or_path=$MODEL_NAME \
--train_data_dir=$DATASET_NAME \
--train_data_meta=$ODE_DATA_META \
--train_batch_size=1 \
--gradient_accumulation_steps=1 \
--dataloader_num_workers=8 \
--num_train_epochs=100 \
--checkpointing_steps=500 \
--learning_rate=2.0e-06 \
--lr_scheduler="constant_with_warmup" \
--lr_warmup_steps=100 \
--seed=42 \
--output_dir="output_dir_wan2.1_flex_forcing_ode_regression" \
--gradient_checkpointing \
--mixed_precision="bf16" \
--adam_weight_decay=3e-2 \
--adam_epsilon=1e-10 \
--max_grad_norm=0.05 \
--train_sampling_steps=1000 \
--denoising_step_indices_list 1000 750 500 250 \
--shift=8.0 \
--resume_from_checkpoint="latest" \
--trainable_modules "." \
--flex_forcing \
--flex_chunk_min=2 \
--flex_chunk_max=10 \
--num_frame_per_block=3