ValueError:

Hi, there, I had an error like this:
command: python predict_image_and_extend.py
Fetching 14 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 14/14 [00:00<00:00, 73861.96it/s]
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
Traceback (most recent call last):
File "predict_image_and_extend.py", line 1, in
from init_model import *
File "/home/neuralimage6/diffusers/init_model.py", line 3, in
pipe = StableDiffusionPipeline.from_pretrained("svjack/Stable-Diffusion-FineTuned-zh-v1")
File "/home/neuralimage6/anaconda3/envs/chinese_diffusers/lib/python3.8/site-packages/diffusers/pipeline_utils.py", line 516, in from_pretrained
raise ValueError(
ValueError: The component <class 'transformers.models.clip.image_processing_clip.CLIPImageProcessor'> of <class 'diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline'> cannot be loaded as it does not seem to have any of the loading methods defined in {'ModelMixin': ['save_pretrained', 'from_pretrained'], 'SchedulerMixin': ['save_config', 'from_config'], 'DiffusionPipeline': ['save_pretrained', 'from_pretrained'], 'OnnxRuntimeModel': ['save_pretrained', 'from_pretrained'], 'PreTrainedTokenizer': ['save_pretrained', 'from_pretrained'], 'PreTrainedTokenizerFast': ['save_pretrained', 'from_pretrained'], 'PreTrainedModel': ['save_pretrained', 'from_pretrained'], 'FeatureExtractionMixin': ['save_pretrained', 'from_pretrained']}.