adaptive_noise_scale = 0.00375
bucket_no_upscale = true
bucket_reso_steps = 64
caption_dropout_rate = 0.1
caption_extension = ".txt"
clip_skip = 1
dataset_repeats = 1
dynamo_backend = "no"
enable_bucket = true
full_bf16 = true
gradient_accumulation_steps = 6
gradient_checkpointing = true
huber_c = 0.1
huber_schedule = "snr"
in_json = "//workspace/datasets/cosplay64k/meta_cap.json"
learning_rate = 5e-5
log_config = true
log_with = "wandb"
logging_dir = "/workspace/datasets/cosplay64k/logs"
loss_type = "l2"
lr_scheduler = "constant"
lr_scheduler_args = []
max_bucket_reso = 1024
max_data_loader_n_workers = 0
max_timestep = 900
max_token_length = 225
max_train_epochs = 10
max_train_steps = 640000
min_bucket_reso = 64
min_snr_gamma = 5
min_timestep = 100
mixed_precision = "bf16"
no_half_vae = true
noise_offset = 0.0375
noise_offset_type = "Original"
optimizer_args = []
optimizer_type = "PagedAdamW8bit"
output_dir = "/workspace/datasets/cosplay64k/model"
output_name = "last"
pretrained_model_name_or_path = "/workspace/stable-diffusion-webui/models/Stable-diffusion/2DN-Real.safetensors"
resolution = "768,768"
resume = "/workspace/datasets/cosplay64k/model/last-step00001000-state"
sample_every_n_steps = 100
sample_prompts = "/workspace/datasets/cosplay64k/model/sample/prompt.txt"
sample_sampler = "euler_a"
save_every_n_epochs = 1
save_every_n_steps = 1000
save_last_n_steps = 10
save_last_n_steps_state = 10
save_model_as = "safetensors"
save_precision = "fp16"
save_state = true
save_state_on_train_end = true
seed = 42
train_batch_size = 3
train_data_dir = "/workspace/datasets/cosplay64k/img/1_cosplay"
wandb_api_key = "f511895eceddd897b552f95f08b6188ed3c70e81"
wandb_run_name = "Cosplay64k"
xformers = true