model_train_type = "sdxl-lora"
pretrained_model_name_or_path = "sd-models/il.safetensors"
resume = ""
train_data_dir = "F:/下载/新建文件夹/pixiv-data/downloads/GSUS"
prior_loss_weight = 1
resolution = "1024,1024"
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 2560
bucket_reso_steps = 64
bucket_no_upscale = true
output_name = "GSUS-ha-il-LoHA"
output_dir = "./output/GSUS-ha-LoHA"
save_model_as = "safetensors"
save_precision = "fp16"
save_every_n_epochs = 2
save_state = false
max_train_epochs = 4
train_batch_size = 9
gradient_checkpointing = true
gradient_accumulation_steps = 2
network_train_unet_only = true
network_train_text_encoder_only = false
learning_rate = 1
unet_lr = 1
text_encoder_lr = 1
lr_scheduler = "constant"
lr_warmup_steps = 0
optimizer_type = "Prodigy"
network_module = "lycoris.kohya"
network_weights = "E:/lora/output/GSUS-ha-LoHA/GSUS-ha-il-LoHA.safetensors"
network_dim = 8
network_alpha = 4
randomly_choice_prompt = false
prompt_file = ""
positive_prompts = "1girl, breasts, underwear, panty pull, panties, pantyhose, solo, sitting, nipples, school uniform, long hair, hairband, sweat, blush, pantyhose pull, black pantyhose, clothes pull, medium breasts, pussy peek, pink panties, shirt lift, sailor collar, clothes lift, pussy, couch, closed mouth, knees up, feet"
negative_prompts = "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts,signature, watermark, username, blurry"
sample_width = 832
sample_height = 1216
sample_cfg = 5
sample_seed = 2333
sample_steps = 40
sample_sampler = "euler_a"
sample_every_n_epochs = 2
log_with = "tensorboard"
logging_dir = "./logs"
caption_extension = ".txt"
shuffle_caption = false
keep_tokens = 0
max_token_length = 255
multires_noise_iterations = 8
multires_noise_discount = 0.4
flip_aug = false
seed = 1338
mixed_precision = "bf16"
full_bf16 = true
xformers = true
sdpa = false
lowram = false
cache_latents = true
cache_latents_to_disk = true
persistent_data_loader_workers = true
ddp_gradient_as_bucket_view = false
save_last_n_epochs_state = 20
network_args = [ "conv_dim=32", "conv_alpha=9", "dropout=0", "algo=loha" ]
optimizer_args = [
  "decouple=True",
  "weight_decay=0.01",
  "use_bias_correction=True",
  "d_coef=2.0"
]