b00bs / ER0S-GASM-LORAS /bl0wj0b /model /config_lora-20240812-062804.toml
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async_upload = true
bucket_reso_steps = 32
cache_latents = true
cache_latents_to_disk = true
caption_extension = ".txt"
clip_skip = 1
dynamo_backend = "tensorrt"
enable_bucket = true
epoch = 16
gradient_accumulation_steps = 1
gradient_checkpointing = true
huber_c = 0.1
huber_schedule = "snr"
huggingface_path_in_repo = "b00bs/"
huggingface_repo_id = "TheMindExpansionNetwork/lora-training"
huggingface_repo_type = "model"
huggingface_repo_visibility = "public"
huggingface_token = "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"
learning_rate = 0.0001
logging_dir = "/workspace/bl0wj0b/bl0wj0b/log"
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_epochs = 16
max_train_steps = 320
metadata_author = "m1nd3xpand3r"
metadata_description = "Just a few test to see how it looks for better train"
metadata_title = "bl0wj0b"
min_bucket_reso = 256
min_snr_gamma = 5
mixed_precision = "bf16"
network_alpha = 13
network_args = []
network_dim = 32
network_module = "networks.lora"
no_half_vae = true
noise_offset_type = "Original"
optimizer_args = []
optimizer_type = "AdamW8bit"
output_dir = "/workspace/bl0wj0b/bl0wj0b/model"
output_name = "last"
pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
prior_loss_weight = 1
resolution = "1024,1024"
sample_prompts = "/workspace/bl0wj0b/bl0wj0b/model/prompt.txt"
sample_sampler = "euler_a"
save_every_n_epochs = 2
save_model_as = "safetensors"
save_precision = "bf16"
save_state_to_huggingface = true
scale_weight_norms = 2.5
text_encoder_lr = 0.0001
train_batch_size = 8
train_data_dir = "/workspace/bl0wj0b/bl0wj0b/img"
training_comment = "trigger: playboy centerfold"
unet_lr = 0.0001
xformers = true