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feat: upload olisyoyoliso XL lora model

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olisyoyoliso XL_config/config_file.toml ADDED
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+ [sdxl_arguments]
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+ cache_text_encoder_outputs = false
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+ no_half_vae = true
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+ min_timestep = 0
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+ max_timestep = 1000
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+ shuffle_caption = true
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+ lowram = true
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+
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+ [model_arguments]
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+ pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
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+ vae = "/content/vae/sdxl_vae.safetensors"
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+
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+ [dataset_arguments]
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+ debug_dataset = false
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+ in_json = "/content/LoRA/meta_lat.json"
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+ train_data_dir = "/content/LoRA/train_data"
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+ dataset_repeats = 15
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+ keep_tokens = 0
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+ resolution = "1024,1024"
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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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+
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+ [training_arguments]
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+ output_dir = "/content/LoRA/output/olisyoyoliso XL"
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+ output_name = "olisyoyoliso XL"
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+ save_precision = "fp16"
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+ save_every_n_epochs = 1
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+ train_batch_size = 4
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+ max_token_length = 225
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+ mem_eff_attn = false
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+ sdpa = true
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+ xformers = false
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+ max_train_epochs = 10
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+ max_data_loader_n_workers = 8
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+ persistent_data_loader_workers = true
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+ gradient_checkpointing = true
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+ gradient_accumulation_steps = 1
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+ mixed_precision = "fp16"
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+
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+ [logging_arguments]
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+ log_with = "tensorboard"
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+ logging_dir = "/content/LoRA/logs"
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+ log_prefix = "olisyoyoliso XL"
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+
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+ [sample_prompt_arguments]
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+ sample_every_n_epochs = 1
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+ sample_sampler = "euler_a"
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+
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+ [saving_arguments]
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+ save_model_as = "safetensors"
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+
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+ [optimizer_arguments]
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+ optimizer_type = "AdaFactor"
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+ learning_rate = 0.0001
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+ max_grad_norm = 0
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+ optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]
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+ lr_scheduler = "constant_with_warmup"
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+ lr_warmup_steps = 100
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+
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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 = 32
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+ network_alpha = 16
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+ network_args = []
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+ network_train_unet_only = true
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+
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+ [advanced_training_config]
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+ save_state = false
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+ save_last_n_epochs_state = false
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+ caption_dropout_rate = 0
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+ caption_tag_dropout_rate = 0.5
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+ caption_dropout_every_n_epochs = 0
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+ min_snr_gamma = 5
olisyoyoliso XL_config/sample_prompt.toml ADDED
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+ [prompt]
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+ negative_prompt = "lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, "
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+ width = 1024
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+ height = 1024
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+ scale = 12
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+ sample_steps = 28
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+ [[prompt.subset]]
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+ prompt = "masterpiece, best quality, olisyoyoliso, looking at viewer, happy, water painting"
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+