46 lines
1.8 KiB
Bash
46 lines
1.8 KiB
Bash
export MODEL_NAME="models/Diffusion_Transformer/Z-Image"
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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_IB_DISABLE=1 and NCCL_P2P_DISABLE=1 are used in multi nodes without RDMA.
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# export NCCL_IB_DISABLE=1
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# export NCCL_P2P_DISABLE=1
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NCCL_DEBUG=INFO
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accelerate launch --mixed_precision="bf16" scripts/z_image/train_grpo_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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--image_sample_size=768 \
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--train_batch_size=1 \
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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=10 \
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--learning_rate=3e-04 \
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--seed=42 \
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--output_dir="output_dir_z_image_grpo_lora" \
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--validation_steps=10 \
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--validation_epochs=500 \
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--validation_prompts="1girl, black_hair, brown_eyes, earrings, freckles, grey_background, jewelry, lips, long_hair, looking_at_viewer, nose, piercing, realistic, red_lips, solo, upper_body" \
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--gradient_checkpointing \
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--mixed_precision="bf16" \
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--adam_weight_decay=1e-4 \
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--adam_epsilon=1e-8 \
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--vae_mini_batch=1 \
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--max_grad_norm=1 \
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--enable_bucket \
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--uniform_sampling \
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--rank=128 \
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--network_alpha=64 \
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--noise_level 1.2 \
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--clip_range=1e-4 \
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--grpo_num_steps=10 \
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--grpo_cfg_scale=6 \
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--sde_window_size 3 \
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--sde_window_range 0 6 \
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--num_image_per_prompt=16 \
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--num_batches_per_epoch=16 \
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--reward_fn="HPSv3Reward" \
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--reward_fn_kwargs='{"HPSv3Reward": {"checkpoint_path": "models/Diffusion_Transformer/HPSv3/HPSv3.safetensors", "model_name_or_path": "models/Diffusion_Transformer/Qwen2-VL-7B-Instruct"}}' \
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--multi_reward_weights='{"HPSv3Reward": 1}' \
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--target_name="to_q,to_k,to_v,to_out.0,feed_forward.w1,feed_forward.w2,feed_forward.w3" |