| command: | |
| - accelerate | |
| - launch | |
| - --config_file=/content/kohya-trainer/accelerate_config/config.yaml | |
| - --num_cpu_threads_per_process=8 | |
| - train_network.py | |
| - --output_name=mandoLORA | |
| - --pretrained_model_name_or_path=/content/pretrained_model/Stable-Diffusion-v1-5.safetensors | |
| - --vae=/content/vae/stablediffusion.vae.pt | |
| - --train_data_dir=/content/LoRA/train_data | |
| - --in_json=/content/LoRA/meta_lat.json | |
| - --output_dir=/content/LoRA/output | |
| - --network_dim=128 | |
| - --network_alpha=128 | |
| - --network_module=networks.lora | |
| - --optimizer_type=AdamW8bit | |
| - --learning_rate=0.0002 | |
| - --unet_lr=0.0002 | |
| - --text_encoder_lr=5e-05 | |
| - --lr_scheduler=cosine | |
| - --dataset_repeats=110 | |
| - --resolution=512 | |
| - --keep_tokens=1 | |
| - --train_batch_size=1 | |
| - --max_train_epochs=1 | |
| - --mixed_precision=fp16 | |
| - --save_precision=fp16 | |
| - --save_n_epoch_ratio=3 | |
| - --save_model_as=safetensors | |
| - --max_token_length=225 | |
| - --gradient_checkpointing | |
| - --gradient_accumulation_steps=1 | |
| - --clip_skip=1 | |
| - --logging_dir=/content/LoRA/logs | |
| - --log_prefix=mandoLORA | |
| - --shuffle_caption | |