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