ahrm / UnstableFusion

A Stable Diffusion desktop frontend with inpainting, img2img and more!
GNU General Public License v3.0
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Executing the instructions in google collab returns an error #43

Closed Vponed closed 1 year ago

Vponed commented 1 year ago

Fetching 15 files: 100% 15/15 [00:00<00:00, 545.25it/s]


ValueError Traceback (most recent call last)

in ----> 1 run_app()

2 frames

/usr/local/lib/python3.8/dist-packages/diffusers/pipeline_utils.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs) 514 class_obj() 515 --> 516 raise ValueError( 517 f"The component {class_obj} of {pipeline_class} cannot be loaded as it does not seem to have" 518 f" any of the loading methods defined in {ALL_IMPORTABLE_CLASSES}."

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']}.

ahrm commented 1 year ago

Should be fixed in the latest commit.