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  1. sek-000017.safetensors +3 -0
  2. sek.toml +112 -0
sek-000017.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b823dc71bc19cf796c46b638b82d5777aa37965de1f67ffa7507795314b7b69f
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+ size 102665336
sek.toml ADDED
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+ [[subsets]]
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+ caption_extension = ".txt"
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+ image_dir = "C:/Users/nousa/Desktop/sek"
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+ keep_tokens = 1
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+ name = "Main"
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+ num_repeats = 2
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+ random_crop = true
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+ shuffle_caption = true
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+ shuffle_caption_sigma = 10
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+
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+ [train_mode]
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+ train_mode = "lora"
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+
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+ [general_args.args]
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+ persistent_data_loader_workers = true
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+ mixed_precision = "bf16"
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+ gradient_checkpointing = true
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+ gradient_accumulation_steps = 6
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+ seed = 1337
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+ max_data_loader_n_workers = 1
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+ max_token_length = 225
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+ prior_loss_weight = 1.0
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+ xformers = true
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+ max_train_epochs = 19
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+ sdxl = true
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+ v_parameterization = true
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+ pretrained_model_name_or_path = "C:/Users/nousa/Music/stable-diffusion-webui-reForge/models/Stable-diffusion/NoobAI-XL-Vpred-v0.9r.safetensors"
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+
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+ [general_args.dataset_args]
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+ resolution = 1024
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+ batch_size = 4
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+
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+ [network_args.args]
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+ network_dim = 16
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+ network_alpha = 8.0
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+ min_timestep = 0
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+ max_timestep = 1000
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+ network_train_unet_only = true
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+
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+ [optimizer_args.args]
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+ optimizer_type = "ADOPTAOScheduleFree"
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+ lr_scheduler = "constant_with_warmup"
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+ loss_type = "l2"
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+ warmup_ratio = 0.1
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+ scale_weight_norms = 99.0
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+ max_grad_norm = 0.25
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+ zero_terminal_snr = true
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+ learning_rate = 0.005
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+
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+ [saving_args.args]
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+ save_precision = "bf16"
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+ save_model_as = "safetensors"
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+ save_last_n_epochs = 4
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+ save_every_n_epochs = 1
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+ save_toml = true
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+ output_dir = "C:/Users/nousa/Music/stable-diffusion-webui-reForge/models/Lora/sek"
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+ output_name = "sek"
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+ save_toml_location = "C:/Users/nousa/Music/stable-diffusion-webui-reForge/models/Lora/sek"
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+
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+ [logging_args.args]
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+ logging_dir = ""
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+ log_tracker_name = "sdxl"
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+ log_with = "wandb"
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+ wandb_api_key = "5dd7ee6f1f34419f7fdce82419e25f5673c73ab2"
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+
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+ [extra_args.args]
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+ validation_split = "0.2"
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+ validation_seed = "1337"
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+ validation_every_n_step = "10"
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+ max_validation_steps = "40"
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+ edm2_loss_weighting = "True"
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+ edm2_loss_weighting_optimizer = "LoraEasyCustomOptimizer.fmarscrop.FMARSCrop"
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+ edm2_loss_weighting_optimizer_lr = "2e-2"
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+ edm2_loss_weighting_optimizer_args = "{'eps_floor':1e-30, 'eps':1e-6, 'gamma':0.0005}"
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+ edm2_loss_weighting_lr_scheduler = "True"
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+ edm2_loss_weighting_lr_scheduler_warmup_percent = "0.1"
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+ edm2_loss_weighting_lr_scheduler_constant_percent = "0.9"
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+ edm2_loss_weighting_max_grad_norm = "0"
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+ edm2_loss_weighting_generate_graph_every_x_steps = "20"
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+ edm2_loss_weighting_generate_graph = "True"
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+ edm2_loss_weighting_num_channels = "448"
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+ edm2_loss_weighting_generate_graph_y_limit = "50"
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+ edm2_loss_weighting_lr_scheduler_decay_scaling = "1.5"
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+ sangoi_loss_modifier = "True"
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+ sangoi_loss_modifier_min_snr = "0"
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+ pin_data_loader_memory = "True"
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+ disable_cuda_reduced_precision_operations = "True"
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+ train_network_norm_modules_as_float32 = "True"
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+
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+ [bucket_args.dataset_args]
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+ enable_bucket = true
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+ min_bucket_reso = 256
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+ max_bucket_reso = 2048
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+ bucket_reso_steps = 64
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+
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+ [network_args.args.network_args]
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+ conv_dim = 16
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+ conv_alpha = 8.0
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+ algo = "locon"
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+ dora_wd = true
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+ train_norm = true
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+ use_scalar = "True"
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+
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+ [optimizer_args.args.optimizer_args]
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+ betas = "0.9,0.9999"
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+ weight_decay = "1e-5"
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+ adaptive_clip = "0.5"
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+ eps = "1e-6"
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+ mars_gamma = "0.05"
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+ stable_weight_decay = "False"
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+ weight_decouple = "True"
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+ fisher = "False"