30 lines
1.3 KiB
Bash
30 lines
1.3 KiB
Bash
export MODEL_NAME="models/Diffusion_Transformer/PixArt-XL-2-512x512"
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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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# When train model with multi machines, use "--config_file accelerate.yaml" instead of "--mixed_precision='bf16'".
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# vae_mode can be choosen in "normal" and "magvit"
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# transformer_mode can be choosen in "normal" and "kvcompress"
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accelerate launch --mixed_precision="bf16" scripts/train_t2i_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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--config_path "config/easyanimate_image_normal_v1.yaml" \
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--train_data_format="normal" \
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--caption_column="text" \
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--resolution=512 \
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--train_text_encoder \
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--train_batch_size=2 \
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--gradient_accumulation_steps=1 \
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--dataloader_num_workers=8 \
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--max_train_steps=2500 \
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--checkpointing_steps=500 \
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--validation_prompts="1girl, bangs, blue eyes, blunt bangs, blurry, blurry background, bob cut, depth of field, lips, looking at viewer, motion blur, nose, realistic, red lips, shirt, short hair, solo, white shirt." \
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--validation_steps=100 \
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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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--enable_xformers_memory_efficient_attention \
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--gradient_checkpointing \
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--mixed_precision='bf16'
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