runtime error

fig_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["eos_token_id"]` will be overriden. Loading pipeline components...: 71%|███████▏ | 5/7 [00:43<00:23, 11.72s/it] Loading pipeline components...: 86%|████████▌ | 6/7 [00:50<00:10, 10.39s/it] Loading pipeline components...: 100%|██████████| 7/7 [00:51<00:00, 7.29s/it] Traceback (most recent call last): File "/home/user/app/app.py", line 28, in <module> diffuser_pipeline = diffuser_pipeline.to(device) File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 783, in to module_is_sequentially_offloaded(module) for _, module in self.components.items() File "/home/user/.local/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 1832, in components raise ValueError( ValueError: SpeechToImagePipeline { "_class_name": "SpeechToImagePipeline", "_diffusers_version": "0.22.0.dev0", "_name_or_path": "CompVis/stable-diffusion-v1-4", "feature_extractor": [ "transformers", "CLIPFeatureExtractor" ], "scheduler": [ "diffusers", "PNDMScheduler" ], "speech_model": [ "transformers", "WhisperForConditionalGeneration" ], "speech_processor": [ "transformers", "WhisperProcessor" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] } has been incorrectly initialized or <class 'diffusers_modules.git.speech_to_image_diffusion.SpeechToImagePipeline'> is incorrectly implemented. Expected {'feature_extractor', 'vae', 'speech_model', 'tokenizer', 'unet', 'safety_checker', 'text_encoder', 'scheduler', 'speech_processor'} to be defined, but dict_keys(['speech_model', 'speech_processor', 'vae', 'text_encoder', 'tokenizer', 'unet', 'scheduler', 'feature_extractor']) are defined.

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