export MODEL_NAME="models/Diffusion_Transformer/Wan2.1-Fun-1.3B-InP"
export DATASET_NAME=""
export DATASET_META_NAME="/YOUR/ABS/PATH/casper.json"
export NCCL_IB_DISABLE=1
export NCCL_P2P_DISABLE=1
NCCL_DEBUG=INFO

accelerate launch --mixed_precision="bf16" scripts/wan2.1_fun/train.py \
  --config_path="config/wan2.1/wan_civitai.yaml" \
  --pretrained_model_name_or_path=$MODEL_NAME \
  --train_data_dir=$DATASET_NAME \
  --train_data_meta=$DATASET_META_NAME \
  --image_sample_size=1024 \
  --video_sample_size=256 \
  --token_sample_size=512 \
  --video_sample_stride=1 \
  --video_sample_n_frames=81 \
  --train_batch_size=8 \
  --video_repeat=1 \
  --gradient_accumulation_steps=1 \
  --dataloader_num_workers=8 \
  --num_train_epochs=100 \
  --checkpointing_steps=1000 \
  --learning_rate=2e-05 \
  --lr_scheduler="constant_with_warmup" \
  --lr_warmup_steps=100 \
  --seed=42 \
  --output_dir="wan-casper-1.3B" \
  --gradient_checkpointing \
  --mixed_precision="bf16" \
  --adam_weight_decay=3e-2 \
  --adam_epsilon=1e-10 \
  --vae_mini_batch=1 \
  --max_grad_norm=0.05 \
  --random_hw_adapt \
  --training_with_video_token_length \
  --enable_bucket \
  --uniform_sampling \
  --low_vram \
  --use_came \
  --train_mode="casper" \
  --resume_from_checkpoint="latest" \
  --trainable_modules "."
 