Delete config_lora-20241021-064510.toml

config_lora-20241021-064510.toml

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-ae = "/workspace/ae.safetensors"
-bucket_no_upscale = true
-bucket_reso_steps = 64
-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 = "/workspace/clip_l.safetensors"
-discrete_flow_shift = 3.1582
-dynamo_backend = "no"
-epoch = 50
-full_bf16 = true
-gradient_accumulation_steps = 1
-gradient_checkpointing = true
-guidance_scale = 1.0
-highvram = true
-huber_c = 0.1
-huber_schedule = "snr"
-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_timestep = 1000
-max_train_steps = 1400
-mem_eff_save = true
-min_bucket_reso = 256
-mixed_precision = "bf16"
-model_prediction_type = "raw"
-network_alpha = 128
-network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
-network_dim = 128
-network_module = "networks.lora_flux"
-noise_offset_type = "Original"
-optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
-optimizer_type = "Adafactor"
-output_dir = "/workspace/kohya_ss/models"
-output_name = "BevzyukN_1"
-pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
-prior_loss_weight = 1
-resolution = "1024,1024"
-sample_prompts = "/workspace/kohya_ss/models/sample/prompt.txt"
-sample_sampler = "euler_a"
-save_every_n_epochs = 25
-save_model_as = "safetensors"
-save_precision = "float"
-sdpa = true
-seed = 1
-t5xxl = "/workspace/t5xxl_fp16.safetensors"
-t5xxl_max_token_length = 512
-text_encoder_lr = [ 0.0001, 0.0001,]
-timestep_sampling = "sigmoid"
-train_batch_size = 1
-train_data_dir = "/workspace/kohya_ss/img"
-unet_lr = 0.0001
-vae_batch_size = 4
-wandb_run_name = "BevzyukN_1"