ae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
apply_t5_attn_mask = true
bucket_reso_steps = 32
cache_latents = true
cache_latents_to_disk = true
cache_text_encoder_outputs = true
cache_text_encoder_outputs_to_disk = true
caption_extension = ".txt"
clip_l = "D:/StabilityMatrix-win-x64/Data/Models/VAE/clip_l.safetensors"
discrete_flow_shift = 1.0
dynamo_backend = "no"
enable_bucket = true
epoch = 10
fp8_base = true
fp8_base_unet = true
full_bf16 = true
gradient_accumulation_steps = 1
gradient_checkpointing = true
guidance_scale = 1.0
highvram = true
huber_c = 0.1
huber_schedule = "snr"
keep_tokens = 2
loss_type = "l2"
lr_scheduler = "cosine_with_restarts"
lr_scheduler_args = []
lr_scheduler_num_cycles = 1
lr_scheduler_power = 1
lr_warmup_steps = 78
max_bucket_reso = 2048
max_data_loader_n_workers = 0
max_grad_norm = 1
max_timestep = 1000
max_train_steps = 1550
mem_eff_save = true
min_bucket_reso = 512
min_snr_gamma = 10
mixed_precision = "bf16"
model_prediction_type = "raw"
network_alpha = 64
network_args = [ "train_blocks=all",]
network_dim = 128
network_module = "networks.lora_flux"
noise_offset = 0.1
noise_offset_type = "Original"
optimizer_args = [ "weight_decay=0.12",]
optimizer_type = "AdamW"
output_dir = "C:/Users/PCK/Videos/Kaitlin/Model12 22ccsssss 23213"
output_name = "KaitlinM"
pretrained_model_name_or_path = "D:/StabilityMatrix-win-x64/Data/Models/StableDiffusion/flux1-dev.safetensors"
prior_loss_weight = 1
resolution = "512,512"
sample_every_n_steps = 200
sample_prompts = "C:/Users/PCK/Videos/Kaitlin/Model12 22ccsssss 23213\\sample/prompt.txt"
sample_sampler = "euler"
save_every_n_epochs = 1
save_model_as = "safetensors"
save_precision = "fp16"
sdpa = true
seed = 42
t5xxl = "D:/StabilityMatrix-win-x64/Data/Models/VAE/t5xxl_fp16.safetensors"
t5xxl_max_token_length = 512
text_encoder_lr = 0.0002
timestep_sampling = "sigmoid"
train_batch_size = 1
train_data_dir = "C:/Users/PCK/Videos/Kaitlin/IMG"
unet_lr = 0.0001
vae = "D:/StabilityMatrix-win-x64/Data/Models/VAE/ae.safetensors"
wandb_run_name = "KaitlinM"