| export MODEL_NAME="models/Diffusion_Transformer/FLUX.1-dev" | |
| export DATASET_NAME="datasets/internal_datasets/" | |
| export DATASET_META_NAME="datasets/internal_datasets/metadata.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 FluxSingleTransformerBlock,FluxTransformerBlock --fsdp_sharding_strategy "FULL_SHARD" --fsdp_state_dict_type=SHARDED_STATE_DICT --fsdp_backward_prefetch "BACKWARD_PRE" --fsdp_cpu_ram_efficient_loading False scripts/flux/train.py \ | |
| --pretrained_model_name_or_path=$MODEL_NAME \ | |
| --train_data_dir=$DATASET_NAME \ | |
| --train_data_meta=$DATASET_META_NAME \ | |
| --train_batch_size=1 \ | |
| --image_sample_size=1024 \ | |
| --gradient_accumulation_steps=1 \ | |
| --dataloader_num_workers=8 \ | |
| --num_train_epochs=100 \ | |
| --checkpointing_steps=50 \ | |
| --learning_rate=2e-05 \ | |
| --lr_scheduler="constant_with_warmup" \ | |
| --lr_warmup_steps=100 \ | |
| --seed=42 \ | |
| --output_dir="output_dir" \ | |
| --gradient_checkpointing \ | |
| --mixed_precision="bf16" \ | |
| --adam_weight_decay=3e-2 \ | |
| --adam_epsilon=1e-10 \ | |
| --vae_mini_batch=1 \ | |
| --max_grad_norm=0.05 \ | |
| --enable_bucket \ | |
| --uniform_sampling \ | |
| --trainable_modules "." |