feat: upload ultralowleg-bikeshorts lora model
Browse files
ultralowleg-bikeshorts_config/config_file.toml
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@@ -6,8 +6,8 @@ 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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network_module = "networks.lora"
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network_dim =
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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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@@ -15,24 +15,15 @@ network_train_text_encoder_only = false
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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 = "cosine_with_restarts"
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lr_warmup_steps = 0
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lr_scheduler_num_cycles = 0
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[dataset_arguments]
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debug_dataset = false
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train_data_dir = "/content/LoRA/train_data"
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dataset_repeats = 20
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shuffle_caption = true
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keep_tokens = 0
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resolution = "512,512"
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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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token_warmup_min = 1
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token_warmup_step = 0
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[training_arguments]
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output_dir = "/content/LoRA/output"
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@@ -58,5 +49,8 @@ lowram = false
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sample_every_n_epochs = 999999
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sample_sampler = "ddim"
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[saving_arguments]
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save_model_as = "safetensors"
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[additional_network_arguments]
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no_metadata = false
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network_module = "networks.lora"
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network_dim = 16
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network_alpha = 8
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network_train_unet_only = false
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network_train_text_encoder_only = false
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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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optimizer_args = [ "weight_decay=0.1",]
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lr_scheduler = "cosine_with_restarts"
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lr_warmup_steps = 0
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lr_scheduler_num_cycles = 0
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[dataset_arguments]
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cache_latents = true
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debug_dataset = false
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vae_batch_size = 4
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[training_arguments]
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output_dir = "/content/LoRA/output"
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sample_every_n_epochs = 999999
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sample_sampler = "ddim"
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[dreambooth_arguments]
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prior_loss_weight = 1.0
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[saving_arguments]
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save_model_as = "safetensors"
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ultralowleg-bikeshorts_config/dataset_config.toml
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@@ -0,0 +1,22 @@
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[[datasets]]
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resolution = 512
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min_bucket_reso = 256
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max_bucket_reso = 1024
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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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flip_aug = false
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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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class_tokens = ""
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num_repeats = 40
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[general]
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enable_bucket = true
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caption_extension = ".txt"
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shuffle_caption = true
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keep_tokens = 0
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bucket_reso_steps = 64
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bucket_no_upscale = false
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