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export MODEL_NAME="models/Diffusion_Transformer/FLUX.2-dev" |
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export DATASET_NAME="datasets/internal_datasets/" |
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export DATASET_META_NAME="datasets/internal_datasets/metadata.json" |
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NCCL_DEBUG=INFO |
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accelerate launch --mixed_precision="bf16" scripts/flux2/train_lora.py \ |
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--pretrained_model_name_or_path=$MODEL_NAME \ |
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--train_data_dir=$DATASET_NAME \ |
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--train_data_meta=$DATASET_META_NAME \ |
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--train_batch_size=1 \ |
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--image_sample_size=1328 \ |
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--gradient_accumulation_steps=1 \ |
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--dataloader_num_workers=8 \ |
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--num_train_epochs=100 \ |
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--checkpointing_steps=50 \ |
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--learning_rate=1e-04 \ |
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--seed=42 \ |
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--output_dir="output_dir_lora" \ |
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--gradient_checkpointing \ |
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--mixed_precision="bf16" \ |
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--adam_weight_decay=3e-2 \ |
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--adam_epsilon=1e-10 \ |
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--vae_mini_batch=1 \ |
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--max_grad_norm=0.05 \ |
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--enable_bucket \ |
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--rank=64 \ |
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--network_alpha=32 \ |
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--target_name="to_q,to_k,to_v,ff.0,ff.2,ff_context.0,ff_context.2" \ |
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--use_peft_lora \ |
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--uniform_sampling |
