|
[[subsets]] |
|
caption_dropout_every_n_epochs = 1 |
|
caption_dropout_rate = 0.08 |
|
caption_extension = ".txt" |
|
image_dir = "E:/Everything artificial intelligence/loradataset/2_ohwx sweetonedollar" |
|
keep_tokens = 1 |
|
name = "a" |
|
num_repeats = 2 |
|
shuffle_caption = true |
|
|
|
[general_args.args] |
|
max_data_loader_n_workers = 1 |
|
persistent_data_loader_workers = true |
|
seed = 24 |
|
max_token_length = 225 |
|
prior_loss_weight = 1.0 |
|
xformers = true |
|
cache_latents = true |
|
cache_latents_to_disk = true |
|
clip_skip = 2 |
|
max_train_epochs = 18 |
|
vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors" |
|
pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors" |
|
mixed_precision = "fp16" |
|
|
|
[general_args.dataset_args] |
|
resolution = 768 |
|
batch_size = 2 |
|
|
|
[network_args.args] |
|
network_dropout = 0.3 |
|
network_dim = 8 |
|
network_alpha = 4.0 |
|
min_timestep = 0 |
|
max_timestep = 1000 |
|
|
|
[optimizer_args.args] |
|
lr_scheduler = "cosine" |
|
learning_rate = 0.0001 |
|
warmup_ratio = 0.1 |
|
unet_lr = 0.0003 |
|
text_encoder_lr = 5e-5 |
|
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_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" |
|
save_every_n_epochs = 2 |
|
|
|
[noise_args.args] |
|
noise_offset = 0.03 |
|
|
|
[logging_args.args] |
|
log_with = "tensorboard" |
|
logging_dir = "E:/Everything artificial intelligence/derrianscript-devbranch/LoRA_Easy_Training_Scripts/logs/sweetonedollartest5" |
|
|
|
[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 = 12 |
|
conv_alpha = 6.0 |
|
module_dropout = 0.25 |
|
|
|
[optimizer_args.args.optimizer_args] |
|
weight_decay = "0.1" |
|
betas = "0.9,0.99" |
|
|
|
[optimizer_args.args.lr_scheduler_args] |
|
min_lr = 1e-6 |
|
|