Vector / vector.toml
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[[subsets]]
num_repeats = 1
keep_tokens = 0
caption_extension = ".txt"
shuffle_caption = true
flip_aug = false
color_aug = false
random_crop = false
is_reg = false
image_dir = "E:/vector 2/vector_locon/image/1_vector"
[sample_args]
[logging_args]
[general_args.args]
pretrained_model_name_or_path = "C:/Users/nousa/Videos/stable-diffusion-webui/models/Stable-diffusion/animefull-latest.safetensors"
mixed_precision = "bf16"
seed = 23
clip_skip = 2
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
max_token_length = 225
prior_loss_weight = 1.0
full_bf16 = true
max_train_epochs = 20
[general_args.dataset_args]
resolution = [ 512, 512,]
batch_size = 2
[network_args.args]
network_dim = 64
network_alpha = 64.0
[optimizer_args.args]
optimizer_type = "Prodigy"
lr_scheduler = "constant_with_warmup"
learning_rate = 0.5
max_grad_norm = 1.0
unet_lr = 0.5
text_encoder_lr = 0.5
min_snr_gamma = 5
[saving_args.args]
output_dir = "C:/Users/nousa/Videos/stable-diffusion-webui/models/Lora/vector"
save_precision = "bf16"
save_model_as = "safetensors"
output_name = "vector"
save_every_n_epochs = 2
save_toml = true
save_toml_location = "C:/Users/nousa/Videos/stable-diffusion-webui/models/Lora/vector"
[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 1024
bucket_reso_steps = 64
[noise_args.args]
multires_noise_iterations = 6
multires_noise_discount = 0.3
[network_args.args.network_args]
conv_dim = 8
conv_alpha = 4.0
[optimizer_args.args.optimizer_args]
weight_decay = "0.1"
betas = "0.9,0.99"
decouple = "True"
d_coef = "2"
use_bias_correction = "True"
safeguard_warmup = "True"