bucket_no_upscale = true
bucket_reso_steps = 64
cache_latents = true
caption_extension = ".txt"
clip_skip = 1
dynamo_backend = "no"
enable_bucket = true
gradient_accumulation_steps = 1
huber_c = 0.1
huber_scale = 1
huber_schedule = "snr"
loss_type = "l2"
lr_scheduler = "constant"
lr_scheduler_args = []
lr_scheduler_num_cycles = 1
lr_scheduler_power = 1
max_bucket_reso = 2048
max_data_loader_n_workers = 0
max_grad_norm = 1
max_timestep = 1000
max_token_length = 75
max_train_steps = 1600
min_bucket_reso = 512
mixed_precision = "fp16"
network_alpha = 16
network_args = []
network_dim = 32
network_module = "networks.lora"
noise_offset_type = "Original"
optimizer_args = []
optimizer_type = "DAdaptAdam"
output_dir = "/workspace/kohya_ss/outputs/model"
output_name = "last"
pretrained_model_name_or_path = "./model/RealVisXL_V5.0_fp16.safetensors"
prior_loss_weight = 1
resolution = "512,512"
sample_every_n_epochs = 1
sample_every_n_steps = 20
sample_prompts = "/workspace/kohya_ss/outputs/model/sample/prompt.txt"
sample_sampler = "euler_a"
save_every_n_epochs = 1
save_model_as = "safetensors"
save_precision = "fp16"
text_encoder_lr = [ 4.5e-5, 4.5e-5,]
train_batch_size = 4
train_data_dir = "./img"
unet_lr = 0.0001
wandb_run_name = "last"
xformers = true