| 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_DEBUG=INFO |
|
|
| accelerate launch --mixed_precision="bf16" scripts/flux/train_lora.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=1e-04 \ |
| --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 \ |
| --rank=64 \ |
| --network_alpha=32 \ |
| --target_name="to_q,to_k,to_v,ff.0,ff.2,ff_context.0,ff_context.2" \ |
| --use_peft_lora \ |
| --uniform_sampling |