Create test_nomal_weight/test_nomal_weight.toml
Browse files
test_nomal_weight/test_nomal_weight.toml
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bucket_reso_steps = 32
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cache_latents = true
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cache_latents_to_disk = true
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caption_extension = ".txt"
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no_half_vae = true
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clip_skip = 1
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dynamo_backend = "no"
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enable_bucket = true
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batch_size = 8
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gradient_accumulation_steps = 4
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gradient_checkpointing = true
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learning_rate = 3e-6
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learning_rate_te1 = 0
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learning_rate_te2 = 0
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lr_scheduler = "constant_with_warmup"
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lr_warmup_steps = 500
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max_bucket_reso = 4096
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max_data_loader_n_workers = 4
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max_timestep = 1000
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max_token_length = 225
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min_bucket_reso = 256
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mixed_precision = "bf16"
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optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]
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optimizer_type = "Adafactor"
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max_grad_norm = 0.0
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output_dir = "F:\\kohya_ss\\outputs\\test_new_weight"
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output_name = "test_normal_weighting"
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pretrained_model_name_or_path = "F:\\kohya_ss\\sozai\\kawai_ill_2st\\noobaiXLNAIXL_epsilonPred10Version.safetensors"
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save_every_n_steps = 5000
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save_last_n_steps = 15000
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save_last_n_steps_state = 15000
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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 = false
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save_state_on_train_end = true
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seed = 1117
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shuffle_caption = true
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train_text_encoder = false
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xformers = true
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keep_tokens_separator = "|||"
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caption_tag_dropout_rate = 0.15
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logging_dir = 'F:\\kohya_ss\\outputs\\test_new_weight\\logs'
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log_prefix = "test_normal_weighting"
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max_train_epochs = 3
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persistent_data_loader_workers = true
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fused_backward_pass = false
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dataset_config = "E:\\kawaiXL_1st\\test\\dataset_config_test.toml"
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v_parameterization = true
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zero_terminal_snr = true
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full_bf16 = true
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