NebulaeWis
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Upload surtr_arknights.toml
Browse files- surtr_arknights.toml +130 -0
surtr_arknights.toml
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1 |
+
[Basics]
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pretrained_model_name_or_path = "D:\\stable-diffusion-webui\\models\\Stable-diffusion\\animefull-latest.ckpt"
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train_data_dir = "D:\\train_data\\surtr_arknights"
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resolution = "512,768"
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seed = 23
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max_train_steps = 99999
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max_train_epochs = 24
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clip_skip = 2
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[Save]
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output_dir = "D:\\train_out\\lora"
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output_name = "surtr_arknights"
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save_precision = "fp16"
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save_model_as = "safetensors"
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save_every_n_epochs = 2
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save_every_n_steps = 9999
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save_state = false
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save_last_n_steps_state = 1
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save_last_n_steps = 200
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[SDv2]
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v2 = false
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v_parameterization = false
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scale_v_pred_loss_like_noise_pred = false
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[Network_setup]
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network_dim = 4
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network_alpha = 2
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dim_from_weights = false
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network_dropout = 0
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network_train_unet_only = true
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network_train_text_encoder_only = false
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resume = false
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[LyCORIS]
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network_module = "lycoris.kohya"
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network_args = [ "preset=attn-mlp", "algo=lora",]
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[Optimizer]
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train_batch_size = 8
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gradient_checkpointing = true
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gradient_accumulation_steps = 1
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optimizer_type = "AdamW8bit"
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unet_lr = 0.0006
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text_encoder_lr = 0.0006
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max_grad_norm = 1.0
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optimizer_args = [ "weight_decay=0.1", "betas=0.9,0.99",]
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[Lr_scheduler]
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lr_scheduler_type = ""
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lr_scheduler = "constant"
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lr_warmup_steps = 0
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lr_scheduler_num_cycles = 1
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lr_scheduler_power = 1.0
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[Training_preciscion]
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mixed_precision = "fp16"
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full_fp16 = false
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full_bf16 = false
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[Further_improvement]
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min_snr_gamma = 0
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multires_noise_discount = 0.3
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multires_noise_iterations = 6
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[ARB]
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enable_bucket = true
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min_bucket_reso = 320
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max_bucket_reso = 960
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bucket_reso_steps = 64
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bucket_no_upscale = false
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[Captions]
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shuffle_caption = true
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caption_extension = ".txt"
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keep_tokens = 1
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caption_dropout_rate = 0.05
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caption_dropout_every_n_epochs = 0
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caption_tag_dropout_rate = 0.0
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max_token_length = 150
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weighted_captions = false
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token_warmup_min = 1
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token_warmup_step = 0
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[Attention]
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mem_eff_attn = false
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xformers = true
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[Data_augmentation]
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color_aug = false
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flip_aug = false
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random_crop = false
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[Cache_latents]
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cache_latents = true
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vae_batch_size = 1
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cache_latents_to_disk = true
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[Sampling_during_training]
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sample_sampler = "ddim"
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[Logging]
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logging_dir = "logs_training"
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log_with = "tensorboard"
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log_prefix = "lora_"
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[Dataset]
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max_data_loader_n_workers = 8
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persistent_data_loader_workers = true
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dataset_repeats = 1
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[Regularization]
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prior_loss_weight = 1.0
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[Huggingface]
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save_state_to_huggingface = false
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resume_from_huggingface = false
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async_upload = false
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[Debugging]
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debug_dataset = false
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[Deprecated]
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use_8bit_adam = false
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use_lion_optimizer = false
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learning_rate = 0.0002
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[Others]
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lowram = false
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training_comment = "nebulae"
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