feat: upload sutegoro-shiina lora model
Browse files
sutegoro-shiina_config/config_file.toml
CHANGED
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@@ -5,21 +5,20 @@ pretrained_model_name_or_path = "/content/pretrained_model/Animefull-final-prune
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[additional_network_arguments]
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no_metadata = false
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unet_lr = 0.
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text_encoder_lr =
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network_module = "networks.lora"
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network_dim = 128
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network_alpha =
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network_train_unet_only = false
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network_train_text_encoder_only = false
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[optimizer_arguments]
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optimizer_type = "AdamW8bit"
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learning_rate = 0.
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max_grad_norm = 1.0
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lr_scheduler = "
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lr_warmup_steps = 0
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lr_scheduler_num_cycles = 3
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[dataset_arguments]
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debug_dataset = false
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@@ -28,7 +27,7 @@ debug_dataset = false
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output_dir = "/content/LoRA/output"
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output_name = "sutegoro-shiina"
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save_precision = "fp16"
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save_every_n_epochs =
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train_batch_size = 3
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max_token_length = 225
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mem_eff_attn = false
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@@ -45,7 +44,7 @@ log_prefix = "sutegoro-shiina"
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lowram = true
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[sample_prompt_arguments]
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sample_every_n_epochs =
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sample_sampler = "ddim"
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[saving_arguments]
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[additional_network_arguments]
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no_metadata = false
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unet_lr = 0.0001
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text_encoder_lr = 5e-5
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network_module = "networks.lora"
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network_dim = 128
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network_alpha = 64
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network_train_unet_only = false
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network_train_text_encoder_only = false
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[optimizer_arguments]
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optimizer_type = "AdamW8bit"
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learning_rate = 0.0001
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max_grad_norm = 1.0
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lr_scheduler = "constant_with_warmup"
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lr_warmup_steps = 0
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[dataset_arguments]
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debug_dataset = false
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output_dir = "/content/LoRA/output"
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output_name = "sutegoro-shiina"
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save_precision = "fp16"
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save_every_n_epochs = 5
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train_batch_size = 3
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max_token_length = 225
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mem_eff_attn = false
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lowram = true
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[sample_prompt_arguments]
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sample_every_n_epochs = 1
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sample_sampler = "ddim"
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[saving_arguments]
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sutegoro-shiina_config/dataset_config.toml
CHANGED
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@@ -1,12 +1,12 @@
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[[datasets]]
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resolution =
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caption_dropout_rate = 0
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caption_tag_dropout_rate = 0
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caption_dropout_every_n_epochs = 0
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color_aug = false
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[[datasets.subsets]]
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image_dir = "/content/LoRA/train_data"
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num_repeats =
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metadata_file = "/content/LoRA/meta_lat.json"
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[[datasets]]
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resolution = 512
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caption_dropout_rate = 0
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caption_tag_dropout_rate = 0
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caption_dropout_every_n_epochs = 0
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color_aug = false
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[[datasets.subsets]]
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image_dir = "/content/LoRA/train_data"
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num_repeats = 50
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metadata_file = "/content/LoRA/meta_lat.json"
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