feat: upload c3liersarahviloidV4 lora model

c3liersarahviloidV4_config/config_file.toml

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+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "/content/pretrained_model/stable_diffusion_1_5-pruned.safetensors"
+
+[additional_network_arguments]
+no_metadata = false
+unet_lr = 0.0001
+text_encoder_lr = 5e-5
+network_module = "networks.lora"
+network_dim = 16
+network_alpha = 8
+network_args = [ "conv_dim=8", "conv_alpha=1",]
+network_train_unet_only = false
+network_train_text_encoder_only = false
+
+[optimizer_arguments]
+min_snr_gamma = 5.0
+optimizer_type = "AdamW8bit"
+learning_rate = 0.0001
+max_grad_norm = 1.0
+optimizer_args = []
+lr_scheduler = "constant_with_warmup"
+lr_warmup_steps = 135
+
+[dataset_arguments]
+cache_latents = true
+cache_latents_to_disk = true
+debug_dataset = false
+vae_batch_size = 4
+
+[training_arguments]
+output_dir = "/content/LoRA/output"
+output_name = "c3liersarahviloidV4"
+save_precision = "fp16"
+save_every_n_epochs = 1
+train_batch_size = 2
+max_token_length = 225
+mem_eff_attn = false
+xformers = true
+max_train_epochs = 8
+max_data_loader_n_workers = 8
+persistent_data_loader_workers = true
+seed = 46
+gradient_accumulation_steps = 1
+mixed_precision = "fp16"
+clip_skip = 2
+lowram = true
+
+[logging_arguments]
+log_with = "tensorboard"
+logging_dir = "/content/LoRA/logs"
+log_prefix = "c3liersarahviloidV4"
+
+[sample_prompt_arguments]
+sample_every_n_epochs = 1
+sample_sampler = "k_dpm_2_a"
+
+[dreambooth_arguments]
+prior_loss_weight = 1.0
+
+[saving_arguments]
+save_model_as = "safetensors"

c3liersarahviloidV4_config/dataset_config.toml

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+[[datasets]]
+resolution = 512
+min_bucket_reso = 256
+max_bucket_reso = 1024
+flip_aug = false
+subsets = []
+
+[general]
+enable_bucket = true
+caption_extension = ".caption"
+shuffle_caption = true
+keep_tokens = 1

c3liersarahviloidV4_config/sample_prompt.toml

@@ -0,0 +1,9 @@
+[prompt]
+negative_prompt = "(worst quality, low quality:1.4), "
+width = 512
+height = 768
+scale = 7
+sample_steps = 28
+[[prompt.subset]]
+prompt = "masterpiece, best quality, masterpiece, best quality, 1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt"
+