autotrain-advanced Warning: autotrain.trainers.common:__init__:176 - Parameters supplied but not used: data

I was trying to use autotrain on google colab and i got this error when i start training:

Device 0: Tesla T4 - 260.9MiB/15360MiB

INFO | 2024-04-13 15:23:39 | autotrain.app_utils:get_running_jobs:33 - Process 2603 is already completed. Skipping...

INFO | 2024-04-13 15:23:39 | autotrain.app_utils:get_running_jobs:32 - Error while killing process: [Errno 3] No such process

INFO | 2024-04-13 15:23:39 | autotrain.app_utils:get_running_jobs:28 - Killing PID: 2603

{'latents_mean', 'latents_std'} was not found in config. Values will be initialized to default values.

{'variance_type', 'thresholding', 'dynamic_thresholding_ratio', 'clip_sample_range'} was not found in config. Values will be initialized to default values.

You are using a model of type clip_text_model to instantiate a model of type . This is not supported for all configurations of models and can yield errors.

INFO | 2024-04-13 15:21:10 | autotrain.backend:create:305 - Training PID: 2603

INFO | 2024-04-13 15:21:10 | autotrain.commands:launch_command:339 - {'model': 'stablediffusionapi/epicrealism-xl', 'vae_model': '', 'revision': None, 'tokenizer': None, 'image_path': 'autotrain-tp7lr-fasg3/autotrain-data', 'class_image_path': None, 'prompt': '', 'class_prompt': None, 'num_class_images': 100, 'class_labels_conditioning': None, 'prior_preservation': False, 'prior_loss_weight': 1.0, 'project_name': 'autotrain-tp7lr-fasg3', 'seed': 42, 'resolution': 1024, 'center_crop': False, 'train_text_encoder': False, 'batch_size': 1, 'sample_batch_size': 4, 'epochs': 1, 'num_steps': 500, 'checkpointing_steps': 500, 'resume_from_checkpoint': None, 'gradient_accumulation': 4, 'disable_gradient_checkpointing': False, 'lr': 0.0001, 'scale_lr': False, 'scheduler': 'constant', 'warmup_steps': 0, 'num_cycles': 1, 'lr_power': 1.0, 'dataloader_num_workers': 0, 'use_8bit_adam': False, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_weight_decay': 0.01, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'allow_tf32': False, 'prior_generation_precision': None, 'local_rank': -1, 'xformers': False, 'pre_compute_text_embeddings': False, 'tokenizer_max_length': None, 'text_encoder_use_attention_mask': False, 'rank': 4, 'xl': False, 'mixed_precision': 'fp16', 'token': '*****', 'repo_id': 'bobitalent/autotrain-tp7lr-fasg3', 'push_to_hub': True, 'username': 'bobitalent', 'validation_prompt': None, 'num_validation_images': 4, 'validation_epochs': 50, 'checkpoints_total_limit': None, 'validation_images': None, 'logging': False}

INFO | 2024-04-13 15:21:10 | autotrain.commands:launch_command:338 - ['python', '-m', 'autotrain.trainers.dreambooth', '--training_config', 'autotrain-tp7lr-fasg3/training_params.json']

INFO | 2024-04-13 15:21:10 | autotrain.backend:create:300 - Starting local training...

WARNING | 2024-04-13 15:21:10 | autotrain.trainers.common:init:176 - Parameters supplied but not used: data_path

WARNING | 2024-04-13 15:21:10 | autotrain.trainers.common:init:170 - Parameters not supplied by user and set to default: local_rank, scale_lr, center_crop, xl, adam_epsilon, train_text_encoder, validation_prompt, num_validation_images, lr_power, prior_generation_precision, class_labels_conditioning, sample_batch_size, logging, text_encoder_use_attention_mask, adam_weight_decay, allow_tf32, adam_beta1, validation_images, revision, epochs, validation_epochs, dataloader_num_workers, class_image_path, prior_preservation, pre_compute_text_embeddings, warmup_steps, resume_from_checkpoint, seed, disable_gradient_checkpointing, tokenizer, num_class_images, prior_loss_weight, adam_beta2, rank, tokenizer_max_length, checkpoints_total_limit, max_grad_norm, class_prompt, num_cycles

INFO | 2024-04-13 15:21:10 | autotrain.preprocessor.dreambooth:_save_concept_images:63 - <starlette.datastructures.UploadFile object at 0x7ab595abd960>