runtime error

Exit code: 1. Reason: Loading pipeline components...: 100%|██████████| 7/7 [00:08<00:00, 1.14s/it] /usr/local/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:201: FutureWarning: The configuration file of this scheduler: DPMSolverMultistepScheduler { "_class_name": "DPMSolverMultistepScheduler", "_diffusers_version": "0.30.3", "algorithm_type": "dpmsolver++", "beta_end": 0.012, "beta_schedule": "scaled_linear", "beta_start": 0.00085, "dynamic_thresholding_ratio": 0.995, "euler_at_final": false, "final_sigmas_type": "zero", "lambda_min_clipped": -Infinity, "lower_order_final": true, "num_train_timesteps": 1000, "predict_epsilon": true, "prediction_type": "epsilon", "rescale_betas_zero_snr": false, "sample_max_value": 1.0, "solver_order": 2, "solver_type": "midpoint", "steps_offset": 0, "thresholding": false, "timestep_spacing": "linspace", "trained_betas": null, "use_karras_sigmas": false, "use_lu_lambdas": false, "variance_type": null } is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file deprecate("steps_offset!=1", "1.0.0", deprecation_message, standard_warn=False) Traceback (most recent call last): File "/home/user/app/app.py", line 13, in <module> text_to_image = TextToImage() File "/home/user/app/text_to_image.py", line 15, in __init__ self.pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32).pipe.to(device) File "/usr/local/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 143, in __getattr__ raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'") AttributeError: 'StableDiffusionPipeline' object has no attribute 'pipe'

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