Someone mentioned that there's not much mecha spaceships. Decided to make one.[additional_network_arguments]unet_lr = 0.0005text_encoder_lr = 0network_dim = 128network_alpha = 16network_module = "networks.lora_flux"network_train_unet_only = true<pre><code>the large file is generally due to the above as far as i can tell.</code></pre>[optimizer_arguments]learning_rate = 0.0005lr_scheduler = "cosine_with_restarts"lr_scheduler_num_cycles = 3lr_warmup_steps = 0optimizer_type = "Adafactor"optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",][training_arguments]max_train_steps = 0max_train_epochs = 31save_every_n_epochs = 1sample_every_n_epochs = 1sample_prompts = xxxxxxxxxxsample_sampler = "euler_a"train_batch_size = 2noise_offset = 0.1clip_skip = 2weighted_captions = falsemax_token_length = 225lowram = falsemax_data_loader_n_workers = 8persistent_data_loader_workers = truesave_precision = "bf16"mixed_precision = "bf16"output_dir = xxxxxxxxxxlogging_dir = xxxxxxxxxxoutput_name = "sdf-1_proto_2025_02_01"save_state = falsexformers = falsesdpa = trueno_half_vae = falsegradient_checkpointing = truegradient_accumulation_steps = 1highvram = truefp8_base = truetimestep_sampling = "sigmoid"model_prediction_type = "raw"guidance_scale = 1.0loss_type = "l2"clip_l = xxxxxxxxxxae = xxxxxxxxxxt5xxl = xxxxxxxxxx[advanced_training_config]multires_noise_iterations = 6multires_noise_discount = 0.3min_snr_gamma = 5.0v2 = false[saving_arguments]save_model_as = "safetensors"[dreambooth_arguments]prior_loss_weight = 1.0[dataset_arguments]cache_latents = truecache_text_encoder_outputs = truecache_text_encoder_ouutputs_to_disk = true

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