donlucci77
commited on
Upload 2 files
Browse files- sek-000017.safetensors +3 -0
- sek.toml +112 -0
sek-000017.safetensors
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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
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sek.toml
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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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[train_mode]
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train_mode = "lora"
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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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[general_args.dataset_args]
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resolution = 1024
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batch_size = 4
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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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[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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[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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[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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[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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[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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[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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[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"
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