initial setup: ComfyUI + kohya_ss scripts, LoRA config, workflows

training/example_lora_config.toml

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+# example LoRA training config for kohya_ss (SDXL)
+# copy this, rename it, and edit the paths/settings for your lora
+# then train with: .\train_lora.ps1 training/my_lora.toml
+
+[model_arguments]
+pretrained_model_name_or_path = "E:/animepics/models/checkpoints/noobai-xl.safetensors"
+# set to true for vpred models (NoobAI-XL uses vpred)
+v_parameterization = true
+zero_terminal_snr = true
+
+[saving_arguments]
+save_every_n_epochs = 1
+save_model_as = "safetensors"
+output_dir = "E:/animepics/models/loras"
+output_name = "my_lora_v1"
+
+[dataset_arguments]
+# dataset dir structure: training_data/<lora_name>/img/<repeats>_<trigger>/
+train_data_dir = "E:/animepics/training_data/my_lora/img"
+resolution = "1024,1024"
+enable_bucket = true
+min_bucket_reso = 512
+max_bucket_reso = 2048
+bucket_reso_steps = 64
+caption_extension = ".txt"
+shuffle_caption = true
+keep_tokens = 1
+
+[training_arguments]
+output_dir = "E:/animepics/models/loras"
+logging_dir = "E:/animepics/kohya_ss/logs"
+max_train_epochs = 10
+train_batch_size = 1
+gradient_accumulation_steps = 1
+gradient_checkpointing = true
+mixed_precision = "bf16"
+save_precision = "bf16"
+seed = 42
+max_token_length = 225
+xformers = true
+# learning rates — good defaults for NoobAI-XL
+learning_rate = 0.0001
+unet_lr = 0.0001
+text_encoder_lr = 0.00005
+lr_scheduler = "cosine_with_restarts"
+lr_warmup_steps = 100
+optimizer_type = "AdamW8bit"
+
+[network_arguments]
+network_module = "networks.lora"
+network_dim = 32        # rank — higher = more capacity, 16-64 is typical
+network_alpha = 16      # usually half of dim
+# optional: train only specific layers
+# network_args = ["conv_dim=16", "conv_alpha=8"]