runtime error

Exit code: 3. Reason: rsion 12.1.1 Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. This container image and its contents are governed by the NVIDIA Deep Learning Container License. By pulling and using the container, you accept the terms and conditions of this license: https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available. Use the NVIDIA Container Toolkit to start this container with GPU support; see https://docs.nvidia.com/datacenter/cloud-native/ . INFO | 2025-09-16 04:19:04 | autotrain.app.training_api:<module>:95 - AUTOTRAIN_USERNAME: gitgato INFO | 2025-09-16 04:19:04 | autotrain.app.training_api:<module>:96 - PROJECT_NAME: mabama-dlora-0 INFO | 2025-09-16 04:19:04 | autotrain.app.training_api:<module>:97 - TASK_ID: 25 INFO | 2025-09-16 04:19:04 | autotrain.app.training_api:<module>:98 - DATA_PATH: gitgato/autotrain-data-mabama-dlora INFO | 2025-09-16 04:19:04 | autotrain.app.training_api:<module>:99 - MODEL: stabilityai/stable-diffusion-xl-base-1.0 INFO: Started server process [35] INFO: Waiting for application startup. ERROR: Traceback (most recent call last): File "/app/env/lib/python3.10/site-packages/starlette/routing.py", line 693, in lifespan async with self.lifespan_context(app) as maybe_state: File "/app/env/lib/python3.10/contextlib.py", line 199, in __aenter__ return await anext(self.gen) File "/app/src/autotrain/app/training_api.py", line 81, in lifespan process_pid = run_training(params=PARAMS, task_id=TASK_ID) File "/app/src/autotrain/utils.py", line 70, in run_training raise NotImplementedError NotImplementedError ERROR: Application startup failed. Exiting. ERROR conda.cli.main_run:execute(125): `conda run /bin/bash -c autotrain api --port 7860 --host 0.0.0.0` failed. (See above for error)

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