feat: upload seaside-town lora model

seaside-town_config/config_file.toml

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+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "/content/pretrained_model/AnyLoRA.safetensors"
+
+[additional_network_arguments]
+no_metadata = false
+unet_lr = 0.0005
+network_module = "networks.lora"
+network_dim = 64
+network_alpha = 32
+network_train_unet_only = true
+network_train_text_encoder_only = false
+
+[optimizer_arguments]
+optimizer_type = "AdamW8bit"
+learning_rate = 0.0005
+max_grad_norm = 1.0
+lr_scheduler = "constant"
+lr_warmup_steps = 0
+
+[dataset_arguments]
+debug_dataset = false
+in_json = "/content/LoRA/meta_lat.json"
+train_data_dir = "/content/LoRA/train_data"
+dataset_repeats = 1
+shuffle_caption = true
+keep_tokens = 0
+resolution = "512,512"
+caption_dropout_rate = 0
+caption_tag_dropout_rate = 0
+caption_dropout_every_n_epochs = 0
+color_aug = false
+token_warmup_min = 1
+token_warmup_step = 0
+
+[training_arguments]
+output_dir = "/content/LoRA/output"
+output_name = "seaside-town"
+save_precision = "fp16"
+save_every_n_epochs = 25
+train_batch_size = 6
+max_token_length = 225
+mem_eff_attn = false
+xformers = true
+max_train_epochs = 300
+max_data_loader_n_workers = 8
+persistent_data_loader_workers = true
+gradient_checkpointing = false
+gradient_accumulation_steps = 1
+mixed_precision = "fp16"
+clip_skip = 2
+logging_dir = "/content/LoRA/logs"
+log_prefix = "seaside-town"
+noise_offset = 0.2
+lowram = true
+
+[sample_prompt_arguments]
+sample_every_n_epochs = 1
+sample_sampler = "ddim"
+
+[saving_arguments]
+save_model_as = "safetensors"

seaside-town_config/sample_prompt.txt

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+
+a town with a house, wooden port, daytime, rocks, boat, ocean, seagulls, trees, clouds, in the style of xyz   --w 512   --h 768   --l 7   --s 28