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b1583cf
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Parent(s):
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Delete DAaptation/DAaptationBase
Browse files- DAaptation/DAaptationBase +0 -62
DAaptation/DAaptationBase
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#pretrained_model_name_or_path = "H:\\WEBUI_Last\\models\\Stable-diffusion\\Trim.safetensors"
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#train_data_dir = "E:\\Dataset\\Akashi(AZ)"
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#__root_dir = "H:\\sd-scripts\\"
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#logging_dir = "calc:f'{__root_dir}logs'"
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#output_dir = "calc:f'{__root_dir}outputs'"
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#sample_prompts = "calc:f'{__root_dir}prompts\\A.txt'"
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pretrained_model_name_or_path = "/notebooks/box/Trim.safetensors"
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train_data_dir = "/notebooks/LoRA_Image/"
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__root_dir = "/notebooks/LoRA/sd-scripts/"
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logging_dir = "calc:f'{__root_dir}logs'"
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output_dir = "calc:f'{__root_dir}outputs'"
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sample_prompts = "/notebooks/LoRA_Setting/A.txt"
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[Prompt]
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sample_every_n_epochs = 1
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sample_sampler = "k_euler_a"
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[Else]
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shuffle_caption = true
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caption_extension = ".txt"
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keep_tokens = 1
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color_aug = true
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__upper_px = 512
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__resolution_x = "calc:512 + __upper_px"
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__resolution_y = "calc:512 + __upper_px"
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resolution = "calc:f'{__resolution_x},{__resolution_y}'"
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enable_bucket = true
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min_bucket_reso = "calc:320 + __upper_px"
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bucket_no_upscale = true
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caption_dropout_every_n_epochs = 9
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caption_tag_dropout_rate = 0.2
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save_every_n_epochs = 2
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train_batch_size = 1
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xformers = true
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max_train_epochs = 20
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persistent_data_loader_workers = true
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seed = 987
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mixed_precision = "fp16"
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save_precision = "ref:mixed_precision"
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clip_skip = 2
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optimizer_type = "AdaFactor"
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optimizer_args = [ "relative_step=True", "scale_parameter=True", "warmup_init=True"]
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lr_scheduler = "cosine_with_restarts"
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lr_warmup_steps = 500
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lr_scheduler_num_cycles = 4
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network_module = "networks.lora"
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network_dim = 128
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network_alpha = "calc:float(network_dim) / 2.0"
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__upper_mixed_precision = "calc:mixed_precision.upper()"
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output_name = "calc:f'Akashi_{optimizer_type}1024pxWITrue{__upper_mixed_precision}'"
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log_prefix= "ref:output_name"
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