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Upload lora3/config_lora-20240527-224905.toml with huggingface_hub

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lora3/config_lora-20240527-224905.toml ADDED
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+ bucket_reso_steps = 32
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+ cache_latents = true
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+ cache_latents_to_disk = true
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+ caption_extension = ".txt"
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+ clip_skip = 2
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+ dynamo_backend = "no"
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+ enable_bucket = true
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+ epoch = 2
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+ gradient_accumulation_steps = 1
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+ gradient_checkpointing = true
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+ huber_c = 0.1
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+ huber_schedule = "snr"
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+ learning_rate = 0.0002
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+ logging_dir = "/root/autodl-tmp/logs/example"
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+ loss_type = "l2"
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+ lr_scheduler = "constant"
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+ lr_scheduler_args = []
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+ lr_scheduler_num_cycles = 1
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+ lr_scheduler_power = 1
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+ max_bucket_reso = 2176
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+ max_data_loader_n_workers = 0
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+ max_grad_norm = 1
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+ max_timestep = 1000
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+ max_token_length = 75
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+ max_train_epochs = 2
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+ max_train_steps = 18160
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+ min_bucket_reso = 384
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+ mixed_precision = "fp16"
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+ network_alpha = 16
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+ network_args = []
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+ network_dim = 32
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+ network_module = "networks.lora"
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+ network_weights = "/root/kohya_ss/resume/earknights_all.safetensors"
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+ no_half_vae = true
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+ noise_offset = 0.035
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+ noise_offset_type = "Original"
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+ optimizer_args = []
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+ optimizer_type = "AdamW"
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+ output_dir = "/root/kohya_ss/output3"
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+ output_name = "arknight_all_v2"
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+ pretrained_model_name_or_path = "/group_share/lora-scripts/sd-models/v6.safetensors"
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+ prior_loss_weight = 1
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+ resolution = "1024,1024"
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+ sample_every_n_steps = 1000
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+ sample_prompts = "/root/kohya_ss/output3/prompt.txt"
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+ sample_sampler = "euler_a"
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+ save_every_n_epochs = 1
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+ save_last_n_steps_state = 1
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+ save_model_as = "safetensors"
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+ save_precision = "fp16"
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+ seed = 12345
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+ text_encoder_lr = 0.0001
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+ train_batch_size = 56
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+ train_data_dir = "/arknight_0525"
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+ training_comment = "example"
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+ unet_lr = 0.0001
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+ xformers = true