| bucket_reso_steps = 32 | |
| cache_latents = true | |
| cache_latents_to_disk = true | |
| caption_extension = ".txt" | |
| clip_skip = 2 | |
| dynamo_backend = "no" | |
| enable_bucket = true | |
| epoch = 20 | |
| gradient_accumulation_steps = 1 | |
| gradient_checkpointing = true | |
| huber_c = 0.1 | |
| huber_schedule = "snr" | |
| learning_rate = 0.0002 | |
| logging_dir = "/root/autodl-tmp/logs/example" | |
| loss_type = "l2" | |
| lr_scheduler = "constant" | |
| lr_scheduler_args = [] | |
| lr_scheduler_num_cycles = 1 | |
| lr_scheduler_power = 1 | |
| max_bucket_reso = 2176 | |
| max_data_loader_n_workers = 0 | |
| max_grad_norm = 1 | |
| max_timestep = 1000 | |
| max_token_length = 75 | |
| max_train_epochs = 20 | |
| max_train_steps = 45022 | |
| min_bucket_reso = 384 | |
| mixed_precision = "fp16" | |
| network_alpha = 16 | |
| network_args = [] | |
| network_dim = 32 | |
| network_module = "networks.lora" | |
| network_weights = "/root/kohya_ss/sd-models/arknight_all_v2.safetensors" | |
| no_half_vae = true | |
| noise_offset = 0.035 | |
| noise_offset_type = "Original" | |
| optimizer_args = [] | |
| optimizer_type = "AdamW" | |
| output_dir = "/root/kohya_ss/output5" | |
| output_name = "arknight_all_v2_pro" | |
| pretrained_model_name_or_path = "/root/kohya_ss/sd-models/pony-v6.safetensors" | |
| prior_loss_weight = 1 | |
| resolution = "1024,1024" | |
| sample_every_n_steps = 1000 | |
| sample_prompts = "/root/kohya_ss/output5/prompt.txt" | |
| sample_sampler = "euler_a" | |
| save_every_n_epochs = 1 | |
| save_last_n_steps_state = 1 | |
| save_model_as = "safetensors" | |
| save_precision = "fp16" | |
| seed = 12345 | |
| text_encoder_lr = 0.0001 | |
| train_batch_size = 50 | |
| train_data_dir = "/root/kohya_ss/train5/arkinghts_v2" | |
| training_comment = "example" | |
| unet_lr = 0.0001 | |
| xformers = true | |