34 lines
1.4 KiB
Bash
34 lines
1.4 KiB
Bash
export MODEL_NAME="models/Diffusion_Transformer/PixArt-XL-2-512x512"
|
|
export DATASET_NAME="datasets/internal_datasets/"
|
|
export DATASET_META_NAME="datasets/internal_datasets/metadata.json"
|
|
|
|
# When train model with multi machines, use "--config_file accelerate.yaml" instead of "--mixed_precision='bf16'".
|
|
# vae_mode can be choosen in "normal" and "magvit"
|
|
# transformer_mode can be choosen in "normal" and "kvcompress"
|
|
accelerate launch --mixed_precision="bf16" scripts/train_t2i.py \
|
|
--pretrained_model_name_or_path=$MODEL_NAME \
|
|
--train_data_dir=$DATASET_NAME \
|
|
--train_data_meta=$DATASET_META_NAME \
|
|
--config_path "config/easyanimate_image_normal_v1.yaml" \
|
|
--train_data_format="normal" \
|
|
--caption_column="text" \
|
|
--resolution=512 \
|
|
--train_batch_size=2 \
|
|
--gradient_accumulation_steps=1 \
|
|
--dataloader_num_workers=8 \
|
|
--num_train_epochs=50 \
|
|
--checkpointing_steps=500 \
|
|
--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." \
|
|
--validation_epochs=1 \
|
|
--validation_steps=100 \
|
|
--learning_rate=1e-05 \
|
|
--lr_scheduler="constant_with_warmup" \
|
|
--lr_warmup_steps=50 \
|
|
--seed=42 \
|
|
--max_grad_norm=1 \
|
|
--output_dir="output_dir_t2i" \
|
|
--enable_xformers_memory_efficient_attention \
|
|
--gradient_checkpointing \
|
|
--mixed_precision='bf16' \
|
|
--use_ema \
|
|
--trainable_modules "." |