feat: upload zwxjirouOCV3 lora model

zwxjirouOCV3_config/config_file.toml

@@ -0,0 +1,63 @@
+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "/content/pretrained_model/AnyLoRA_noVae_fp16-pruned.ckpt"
+
+[additional_network_arguments]
+no_metadata = false
+unet_lr = 0.0001
+text_encoder_lr = 5e-5
+network_module = "networks.lora"
+network_dim = 32
+network_alpha = 1
+network_args = []
+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 = "zwxjirouOCV3"
+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 = "zwxjirouOCV3"
+
+[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"

zwxjirouOCV3_config/dataset_config.toml

@@ -0,0 +1,15 @@
+[[datasets]]
+resolution = 512
+min_bucket_reso = 256
+max_bucket_reso = 1024
+flip_aug = true
+[[datasets.subsets]]
+image_dir = "/content/LoRA/train_data"
+num_repeats = 35
+
+
+[general]
+enable_bucket = true
+caption_extension = ".txt"
+shuffle_caption = true
+keep_tokens = 1

zwxjirouOCV3_config/sample_prompt.toml

@@ -0,0 +1,12 @@
+[prompt]
+negative_prompt = "(worst quality, low quality:1.4), "
+width = 512
+height = 768
+scale = 7
+sample_steps = 28
+[[prompt.subset]]
+prompt = "masterpiece, best quality, zwxjirou, looking at viewer, sitting, jacket, male focus, outdoors, pants, black pants"
+
+[[prompt.subset]]
+prompt = "masterpiece, best quality, zwxjirou, looking at viewer, open mouth, navel, nipples, male focus, lying, food, barefoot, spread legs, on back, armpits, feet, toes, fruit, soles, abs, pectorals, tan, towel, tanlines, bulge, foot focus, watermelon, male swimwear, swim briefs"
+