Upload 2024-4-27/tmpfilelora.toml with huggingface_hub
Browse files- 2024-4-27/tmpfilelora.toml +55 -0
2024-4-27/tmpfilelora.toml
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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 = 20
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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 = "./outputs/logs"
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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 = 20
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min_bucket_reso = 384
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mixed_precision = "fp16"
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network_alpha = 8
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network_args = []
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network_dim = 16
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network_module = "networks.lora"
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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 = "./outputs"
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output_name = "benghua3_pony"
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pretrained_model_name_or_path = "./sd-model/v6.safetensors"
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prior_loss_weight = 1
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resolution = "1024,1024"
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sample_every_n_epochs = 1
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sample_prompts = "./outputs/prompt.txt"
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sample_sampler = "euler_a"
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save_every_n_epochs = 5
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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 = 20
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train_data_dir = "./train/aki/honkai_impact_3rd"
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training_comment = "example"
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unet_lr = 0.0001
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xformers = true
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