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.gitattributes

@@ -33,3 +33,18 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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dataset_config.toml

@@ -0,0 +1,37 @@
+[[datasets]]
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/priestess"
+num_repeats = 2
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/painter"
+num_repeats = 2
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/colorful"
+num_repeats = 2
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/newyears"
+num_repeats = 2
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/casual"
+num_repeats = 2
+
+[[datasets.subsets]]
+image_dir = "/content/drive/MyDrive/Loras/ina/dataset/chef"
+num_repeats = 2
+
+[general]
+resolution = 1024
+shuffle_caption = true
+keep_tokens = 1
+flip_aug = false
+caption_extension = ".txt"
+enable_bucket = true
+bucket_no_upscale = false
+bucket_reso_steps = 64
+min_bucket_reso = 256
+max_bucket_reso = 4096

epochs/ina_illus-06.safetensors

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epochs/ina_illus-07.safetensors

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epochs/ina_illus-08.safetensors

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epochs/ina_illus-09.safetensors

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epochs/ina_illus-10.safetensors

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ina_6outfits_illustrious.safetensors

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training_config.toml

@@ -0,0 +1,58 @@
+[network_arguments]
+unet_lr = 6e-5
+text_encoder_lr = 1e-6
+network_dim = 16
+network_alpha = 8
+network_module = "networks.lora"
+network_train_unet_only = false
+
+[optimizer_arguments]
+learning_rate = 6e-5
+lr_scheduler = "cosine"
+lr_scheduler_type = "LoraEasyCustomOptimizer.RexAnnealingWarmRestarts.RexAnnealingWarmRestarts"
+lr_scheduler_args = [ "min_lr=1e-9", "gamma=0.9", "d=0.9", "first_cycle_max_steps=800",]
+optimizer_type = "LoraEasyCustomOptimizer.came.CAME"
+optimizer_args = [ "weight_decay=0.04",]
+loss_type = "l2"
+max_grad_norm = 1.0
+
+[training_arguments]
+lowram = true
+pretrained_model_name_or_path = "/content/Illustrious-XL-v0.1.safetensors"
+vae = "/content/sdxl_vae.safetensors"
+max_train_epochs = 10
+train_batch_size = 8
+seed = 42
+max_token_length = 225
+xformers = false
+sdpa = true
+min_snr_gamma = 8.0
+ip_noise_gamma = 0.05
+no_half_vae = true
+gradient_checkpointing = true
+gradient_accumulation_steps = 1
+max_data_loader_n_workers = 1
+persistent_data_loader_workers = true
+mixed_precision = "bf16"
+full_bf16 = true
+full_fp16 = false
+cache_latents = true
+cache_latents_to_disk = true
+cache_text_encoder_outputs = false
+min_timestep = 0
+max_timestep = 1000
+prior_loss_weight = 1.0
+multires_noise_iterations = 6
+multires_noise_discount = 0.3
+
+[saving_arguments]
+save_precision = "fp16"
+save_model_as = "safetensors"
+save_every_n_epochs = 1
+save_last_n_epochs = 4
+output_name = "ina_illus"
+output_dir = "/content/drive/MyDrive/Loras/ina_illus/output"
+log_prefix = "ina_illus"
+logging_dir = "/content/drive/MyDrive/Loras/_logs"
+wandb_api_key = "ef4d900d0c1f0dcfc295578a23bda6fc5805b7e2"
+log_with = "wandb"