cannot find the base_model because I used the different ckpt directory by `--ckpt-dir`?

[tzwm]

I found Train Tool will find the base model in the default directory(stable-diffusion-webui/models/Stable-diffusion). But I used another directory to store my models by the --ckpt-dir webui parameter.

Train Tools: on_train_begin_click {'base_model': '/root/stable-diffusion-webui/models/Stable-diffusion/anything-v4.5-pruned-fp16.ckpt', 'img_folder': '/root/stable-diffusion-webui/outputs/train_tools/projects/test/versions/v1/dataset/processed', 'output_folder': '/root/stable-diffusion-webui/outputs/train_tools/projects/test/versions/v1/trains/anything-v4_5-pruned-fp16-bs-1-ep-20-op-Lion-lr-0_0001-net-128-ap-64', 'save_json_folder': None, 'save_json_name': None, 'load_json_path': None, 'multi_run_folder': None, 'reg_img_folder': None, 'sample_prompts': None, 'change_output_name': 'test-v1', 'json_load_skip_list': None, 'training_comment': None, 'save_json_only': False, 'tag_occurrence_txt_file': True, 'sort_tag_occurrence_alphabetically': False, 'optimizer_type': 'Lion', 'optimizer_args': {'weight_decay': '0.1', 'betas': '0.9,0.99'}, 'scheduler': 'cosine', 'cosine_restarts': 1, 'scheduler_power': 1, 'learning_rate': 0.0001, 'unet_lr': None, 'text_encoder_lr': None, 'warmup_lr_ratio': None, 'unet_only': False, 'net_dim': 128, 'alpha': 64, 'train_resolution': 512, 'height_resolution': None, 'batch_size': 1, 'clip_skip': 2, 'test_seed': 23, 'mixed_precision': 'fp16', 'save_precision': 'fp16', 'lyco': False, 'network_args': None, 'num_epochs': 20, 'save_every_n_epochs': 2, 'save_n_epoch_ratio': None, 'save_last_n_epochs': None, 'max_steps': None, 'sample_sampler': None, 'sample_every_n_steps': None, 'sample_every_n_epochs': None, 'buckets': True, 'min_bucket_resolution': 320, 'max_bucket_resolution': 960, 'bucket_reso_steps': None, 'bucket_no_upscale': False, 'shuffle_captions': False, 'keep_tokens': None, 'xformers': True, 'cache_latents': True, 'flip_aug': False, 'v2': False, 'v_parameterization': False, 'gradient_checkpointing': False, 'gradient_acc_steps': None, 'noise_offset': None, 'mem_eff_attn': False, 'lora_model_for_resume': None, 'save_state': False, 'resume': None, 'text_only': False, 'vae': None, 'log_dir': None, 'log_prefix': None, 'tokenizer_cache_dir': None, 'dataset_config': None, 'lowram': False, 'no_meta': False, 'color_aug': False, 'random_crop': False, 'use_8bit_adam': False, 'use_lion': False, 'caption_dropout_rate': None, 'caption_dropout_every_n_epochs': None, 'caption_tag_dropout_rate': None, 'prior_loss_weight': 1, 'max_grad_norm': 1, 'save_as': 'safetensors', 'caption_extension': '.txt', 'max_clip_token_length': 150, 'save_last_n_epochs_state': None, 'num_workers': 8, 'persistent_workers': True, 'face_crop_aug_range': None, 'network_module': 'networks.lora', 'locon_dim': None, 'locon_alpha': None, 'locon': False}
Failed to find base_model, Please make sure path is correct.

[liasece]

Pls update train-tools and try again.

[tzwm]

Thanks! It's good now.