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abstract/illu_v0_1_abstract_v1_1.toml

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+[saving_args.args]
+output_dir = "D:/ai/stable-diffusion-webui-reForge/models/Lora/sdxl"
+save_precision = "bf16"
+save_model_as = "safetensors"
+save_every_n_epochs = 1
+save_toml = true
+save_toml_location = "D:/ai/training/sdxl/toml"
+output_name = "illu_v0_1_fisheye_v1_0"
+
+[noise_args.args]
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+[logging_args.args]
+logging_dir = "D:\\ai\\training\\sdxl\\logging"
+log_prefix = "sdxl_caloart_"
+log_tracker_name = "sdxl"
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+[extra_args.args]
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+laplace_timestep_sampling_b = "2.5"
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+[bucket_args.dataset_args]
+enable_bucket = true
+min_bucket_reso = 512
+max_bucket_reso = 1536
+bucket_reso_steps = 64
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+[network_args.args.network_args]
+conv_dim = 10
+conv_alpha = 20.0
+algo = "locon"
+preset = "full"
+dora_wd = true
+train_norm = true
+use_scalar = "True"
+
+[optimizer_args.args.optimizer_args]
+betas = "0.8,0.998"
+weight_decay = "2e-7"
+adaptive_clip = "0.06"
+stable_weight_decay = "True"
+weight_decouple = "True"
+update_strategy = "cautious"
+eps = "1e-8"
+adaptive_clip_eps = "0"
+adaptive_clip_type = "layer"
+eps_floor = "1e-14"
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glitch/illu_v0_1_glitch_v1_0.toml

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+[[subsets]]
+caption_dropout_rate = 0.05
+caption_extension = ".txt"
+image_dir = "D:/ai/datasets/rx/datasets/glitch"
+keep_tokens = 1
+name = "Main"
+num_repeats = 6
+random_crop = true
+random_crop_padding_percent = 0.06
+shuffle_caption = true
+
+[train_mode]
+train_mode = "lora"
+
+[general_args.args]
+persistent_data_loader_workers = true
+pretrained_model_name_or_path = "D:/ai/stable-diffusion-webui-reForge/models/Stable-diffusion/illustriousXL_v01.safetensors"
+mixed_precision = "bf16"
+gradient_checkpointing = true
+gradient_accumulation_steps = 6
+seed = 1337
+max_data_loader_n_workers = 2
+max_token_length = 225
+prior_loss_weight = 1.0
+xformers = true
+max_train_epochs = 10
+sdxl = true
+
+[general_args.dataset_args]
+resolution = 1024
+batch_size = 6
+
+[network_args.args]
+network_dim = 16
+network_alpha = 32.0
+min_timestep = 0
+max_timestep = 1000
+ip_noise_gamma = 0.05
+
+[optimizer_args.args]
+optimizer_type = "ADOPTAOScheduleFree"
+lr_scheduler = "constant_with_warmup"
+loss_type = "l2"
+learning_rate = 0.0005
+warmup_ratio = 0.1
+max_grad_norm = 0.0
+text_encoder_lr = 5e-5
+
+[saving_args.args]
+output_dir = "D:/ai/stable-diffusion-webui-reForge/models/Lora/sdxl"
+save_precision = "bf16"
+save_model_as = "safetensors"
+save_every_n_epochs = 1
+save_toml = true
+save_toml_location = "D:/ai/training/sdxl/toml"
+output_name = "illu_v0_1_glitch_v1_0"
+
+[noise_args.args]
+multires_noise_iterations = 6
+multires_noise_discount = 0.1
+
+[logging_args.args]
+logging_dir = "D:\\ai\\training\\sdxl\\logging"
+log_prefix = "sdxl_caloart_"
+log_tracker_name = "sdxl"
+log_with = "wandb"
+
+[extra_args.args]
+validation_split = "0.2"
+validation_seed = "1337"
+validation_every_n_step = "10"
+validation_timesteps = "[50, 200, 400, 600, 800, 950]"
+pin_memory = "True"
+log_config = "True"
+laplace_timestep_sampling_mu = "1.5"
+laplace_timestep_sampling_b = "2.5"
+
+[bucket_args.dataset_args]
+enable_bucket = true
+min_bucket_reso = 512
+max_bucket_reso = 1536
+bucket_reso_steps = 64
+
+[network_args.args.network_args]
+conv_dim = 10
+conv_alpha = 20.0
+algo = "locon"
+preset = "full"
+dora_wd = true
+train_norm = true
+use_scalar = "True"
+
+[optimizer_args.args.optimizer_args]
+betas = "0.8,0.998"
+weight_decay = "2e-7"
+adaptive_clip = "0.06"
+stable_weight_decay = "True"
+weight_decouple = "True"
+update_strategy = "cautious"
+eps = "1e-8"
+adaptive_clip_eps = "0"
+adaptive_clip_type = "layer"
+eps_floor = "1e-14"
+use_orthograd = "True"