[network_arguments]unet_lr = 0.0001text_encoder_lr = 5e-5network_dim = 32network_alpha = 16network_module = "networks.lora"network_args = [ "conv_dim=32", "conv_alpha=16",]network_train_unet_only = false[optimizer_arguments]learning_rate = 0.0001lr_scheduler = "cosine_with_restarts"lr_scheduler_num_cycles = 3lr_warmup_steps = 17optimizer_type = "AdamW8bit"optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",]loss_type = "l2"max_grad_norm = 1.0[training_arguments]lowram = truepretrained_model_name_or_path = "/content/downloaded_model.safetensors"vae = "/content/sdxl_vae.safetensors"max_train_epochs = 8train_batch_size = 4seed = 42max_token_length = 225xformers = falsesdpa = truemin_snr_gamma = 8.0no_half_vae = truegradient_checkpointing = truegradient_accumulation_steps = 1max_data_loader_n_workers = 1persistent_data_loader_workers = truemixed_precision = "fp16"full_fp16 = truefull_bf16 = falsecache_latents = truecache_latents_to_disk = truecache_text_encoder_outputs = falsemin_timestep = 0max_timestep = 1000prior_loss_weight = 1.0multires_noise_iterations = 6multires_noise_discount = 0.3v_parameterization = truescale_v_pred_loss_like_noise_pred = truezero_terminal_snr = true[saving_arguments]save_precision = "fp16"save_model_as = "safetensors"save_every_n_epochs = 1save_last_n_epochs = 8output_name = "anynoobwithcametheresetting"output_dir = "/content/drive/MyDrive/Loras/anynoobwithcametheresetting/output"log_prefix = "anynoobwithcametheresetting"logging_dir = "/content/drive/MyDrive/Loras/_logs"

Files with SHA256: 90b5995dd8a7228281a2295ae74b38157085ef307b9d44fdb44eee6e0733c0a5