Upload gongzhuqun LoRA models from kaggle.

configs/datasets_config.toml

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+[[datasets]]
+resolution = [ 512, 768,]
+min_bucket_reso = 256
+max_bucket_reso = 2048
+caption_dropout_rate = 0.1
+caption_tag_dropout_rate = 0.1
+caption_dropout_every_n_epochs = 0
+flip_aug = false
+color_aug = false
+random_crop = false
+token_warmup_min = 0
+token_warmup_step = 0
+[[datasets.subsets]]
+image_dir = "/kaggle/input/gongzhuqun/gongzhuqun"
+class_tokens = "gongzhuqun"
+num_repeats = 20
+
+
+[general]
+enable_bucket = true
+caption_extension = ".txt"
+shuffle_caption = true
+keep_tokens = 1
+bucket_reso_steps = 64
+bucket_no_upscale = true

configs/sample_prompts.txt

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+
+    gongzhuqun, 1girl, solo, standing, bare shoulders, full body, white footwear, high heels, hand on hip,     --n lowres,blurry,low quality,monochrome,grayscale,worstquality,     --w 512     --h 768     --l 8     --s 30
+    

configs/training_config.toml

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+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "/kaggle/working/pretrained_model/chilloutmix_NiPrunedFp32Fix.safetensors"
+vae = "/kaggle/working/vae/vae-ft-mse-840000-ema-pruned.safetensors"
+
+[additional_network_arguments]
+unet_lr = 5e-5
+text_encoder_lr = 1e-5
+network_module = "networks.lora"
+network_dim = 64
+network_alpha = 32
+network_args = []
+scale_weight_norms = 1.0
+network_train_unet_only = false
+network_train_text_encoder_only = false
+no_metadata = true
+training_comment = "Trained by Kohya Trainer Script by DukeG_89"
+
+[sai_model_spec]
+metadata_title = "SD1.5 LoRA"
+metadata_author = "lip421"
+
+[optimizer_arguments]
+min_snr_gamma = 5
+optimizer_type = "Lion"
+learning_rate = 1.0
+max_grad_norm = 1.0
+optimizer_args = [ "weight_decay=0.01", "betas=.95,.98",]
+lr_scheduler = "cosine_with_restarts"
+lr_warmup_steps = 0
+lr_scheduler_num_cycles = 0
+
+[dataset_arguments]
+cache_latents = true
+cache_latents_to_disk = false
+debug_dataset = false
+vae_batch_size = 1
+
+[training_arguments]
+output_dir = "/kaggle/working/Train_Results/outputs"
+output_name = "gongzhuqun"
+save_every_n_epochs = 1
+save_state = false
+train_batch_size = 1
+max_token_length = 225
+xformers = true
+max_train_epochs = 20
+max_data_loader_n_workers = 8
+persistent_data_loader_workers = true
+seed = 10086
+gradient_checkpointing = true
+mixed_precision = "fp16"
+save_precision = "fp16"
+clip_skip = 2
+logging_dir = "/kaggle/working/Train_Results/logs"
+log_prefix = "gongzhuqun"
+lowram = true
+
+[v_pred_loss]
+scale_v_pred_loss_like_noise_pred = false
+
+[noise_offset_arguments]
+
+[pyramid_noise_arguments]
+multires_noise_iterations = 8
+multires_noise_discount = 0.3
+
+[input_perturbation_noise]
+ip_noise_gamma = 0.1
+
+[debiased_estimation_loss]
+debiased_estimation_loss = true
+
+[sample_prompts_arguments]
+sample_every_n_steps = 0
+sample_every_n_epochs = 1
+sample_sampler = "euler_a"
+sample_at_first = true
+
+[sdxl_arguments]
+
+[dreambooth_arguments]
+prior_loss_weight = 1.0
+
+[SDXL_Controlnet_lllite]
+
+[saving_arguments]
+save_model_as = "safetensors"
+
+[DDP_training_arguments]
+
+[Torch_Compile_arguments]
+dynamo_backend = "inductor"
+
+[huggingface_arguments]
+huggingface_token = "aGZfTmJOcEVZaldaVEdHb3lKSVFhbmlzRUNjSHl3bGRzZGJocg=="
+huggingface_repo_id = "lip421/gongzhuqun"
+huggingface_repo_type = "model"
+huggingface_path_in_repo = "output"
+huggingface_repo_visibility = "private"
+async_upload = true
+
+[wandb_arguments]
+log_with = "all"
+wandb_api_key = "OTAxZWM2NDUyNGY1OWVkOWQwMDQ0NmU0Nzc4OGQxMzVkNTNlZTZiNg=="
+log_tracker_name = "gongzhuqun"