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[[subsets]]
caption_extension = ".txt"
image_dir = "E:/Everything artificial intelligence/loradataset/2_ohwx sweetonedollar"
name = "5_ohwx kiken"
num_repeats = 2
[general_args.args]
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
clip_skip = 2
mixed_precision = "fp16"
seed = 23
max_token_length = 225
prior_loss_weight = 1.0
xformers = true
max_train_epochs = 10
cache_latents = true
[general_args.dataset_args]
resolution = 768
batch_size = 2
[network_args.args]
ip_noise_gamma = 0.1
network_dropout = 0.3
network_dim = 16
network_alpha = 8.0
min_timestep = 0
max_timestep = 1000
[optimizer_args.args]
lr_scheduler = "cosine"
learning_rate = 0.001
warmup_ratio = 0.15
text_encoder_lr = 1e-6
scale_weight_norms = 5.0
max_grad_norm = 1.0
min_snr_gamma = 8
optimizer_type = "pytorch_optimizer.optimizer.came.CAME"
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.Rex"
[saving_args.args]
save_precision = "fp16"
save_model_as = "safetensors"
save_every_n_epochs = 1
save_toml = true
output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/sweetonedollar/sd15-test5"
save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/sweetonedollar/sd15-test5"
output_name = "sweetonedollartest5"
[noise_args.args]
noise_offset = 0.0357
[bucket_args.dataset_args]
enable_bucket = true
bucket_no_upscale = true
min_bucket_reso = 512
max_bucket_reso = 2048
bucket_reso_steps = 64
[network_args.args.network_args]
conv_dim = 24
conv_alpha = 12.0
[optimizer_args.args.optimizer_args]
weight_decay = "0.05"
betas = "0.9,0.99"
[optimizer_args.args.lr_scheduler_args]
min_lr = 1e-6
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