feat: upload productpkgV1 lora model

productpkgV1_config/config_file.toml

@@ -0,0 +1,62 @@
+[model_arguments]
+v2 = false
+v_parameterization = false
+pretrained_model_name_or_path = "/content/pretrained_model/revAnimated_v122.safetensors"
+
+[additional_network_arguments]
+no_metadata = false
+unet_lr = 0.0001
+text_encoder_lr = 5e-5
+network_module = "networks.lora"
+network_dim = 64
+network_alpha = 32
+network_args = []
+network_train_unet_only = false
+network_train_text_encoder_only = false
+
+[optimizer_arguments]
+optimizer_type = "AdamW8bit"
+learning_rate = 0.0001
+max_grad_norm = 1.0
+optimizer_args = []
+lr_scheduler = "constant"
+lr_warmup_steps = 0
+
+[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 = "productpkgV1"
+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 = 25
+max_data_loader_n_workers = 8
+persistent_data_loader_workers = true
+seed = 46
+gradient_accumulation_steps = 1
+mixed_precision = "fp16"
+clip_skip = 1
+lowram = true
+
+[logging_arguments]
+log_with = "tensorboard"
+logging_dir = "/content/LoRA/logs"
+log_prefix = "productpkgV1"
+
+[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"

productpkgV1_config/dataset_config.toml

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+[[datasets]]
+resolution = 512
+min_bucket_reso = 256
+max_bucket_reso = 1024
+flip_aug = false
+[[datasets.subsets]]
+image_dir = "/content/LoRA/train_data"
+num_repeats = 20
+
+[[datasets.subsets]]
+image_dir = "/content/LoRA/train_data/concept1"
+num_repeats = 20
+
+[[datasets.subsets]]
+image_dir = "/content/LoRA/train_data/concept2"
+num_repeats = 20
+
+
+[general]
+enable_bucket = true
+caption_extension = ".txt"
+shuffle_caption = true
+keep_tokens = 1

productpkgV1_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, cncpt2,"
+
+[[prompt.subset]]
+prompt = "masterpiece, best quality, cncpt2,"
+