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config_lora-20241016-143947.toml
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bucket_no_upscale = true
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bucket_reso_steps = 64
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cache_latents = true
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caption_extension = ".txt"
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clip_skip = 2
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dynamo_backend = "no"
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enable_bucket = true
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epoch = 15
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gradient_accumulation_steps = 1
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gradient_checkpointing = true
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huber_c = 0.1
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huber_schedule = "snr"
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learning_rate = 0.0002
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logging_dir = "/workspace/Putithere/log"
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loss_type = "l2"
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lr_scheduler = "cosine_with_restarts"
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lr_scheduler_args = []
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lr_scheduler_num_cycles = 1
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lr_scheduler_power = 1
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lr_warmup_steps = 742
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max_bucket_reso = 2048
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max_data_loader_n_workers = 0
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max_grad_norm = 1
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max_timestep = 1000
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max_token_length = 75
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max_train_steps = 7425
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min_bucket_reso = 256
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min_snr_gamma = 3
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mixed_precision = "fp16"
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multires_noise_discount = 0.3
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network_alpha = 64
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network_args = []
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network_dim = 64
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network_module = "networks.lora"
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noise_offset = 0.15
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noise_offset_type = "Original"
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optimizer_args = [ "weight_decay=0.01", "eps=1e-08", "betas=(0.9,0.999)",]
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optimizer_type = "AdamW8bit"
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output_dir = "/workspace/Putithere/model"
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output_name = "Miss_Pink_v1.0"
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pretrained_model_name_or_path = "/workspace/kohya_ss/models/sd_xl_base_1.0.safetensors"
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prior_loss_weight = 1
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resolution = "768,1024"
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sample_prompts = "/workspace/Putithere/model/prompt.txt"
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sample_sampler = "euler_a"
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save_every_n_epochs = 1
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save_model_as = "safetensors"
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save_precision = "bf16"
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save_state = true
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text_encoder_lr = 0.0004
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train_batch_size = 2
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train_data_dir = "/workspace/Putithere/img"
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unet_lr = 0.0002
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xformers = true
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