runtime error
s and configs ā ā 930 ā ā # use snapshot download here to get it working from from_pret ā ā 931 ā ā if not os.path.isdir(pretrained_model_name_or_path): ā ā ā± 932 ā ā ā cached_folder = cls.download( ā ā 933 ā ā ā ā pretrained_model_name_or_path, ā ā 934 ā ā ā ā cache_dir=cache_dir, ā ā 935 ā ā ā ā resume_download=resume_download, ā ā ā ā /home/user/.pyenv/versions/3.9.19/lib/python3.9/site-packages/diffusers/pipe ā ā lines/pipeline_utils.py:1552 in download ā ā ā ā 1549 ā ā ā ā raise ā ā 1550 ā ā ā else: ā ā 1551 ā ā ā ā # 2. we forced `local_files_only=True` when `model_in ā ā ā± 1552 ā ā ā ā raise EnvironmentError( ā ā 1553 ā ā ā ā ā f"Cannot load model {pretrained_model_name}: mode ā ā 1554 ā ā ā ā ā " while trying to fetch metadata from the Hub. Pl ā ā 1555 ā ā ā ā ā " above." ā ā°āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāÆ OSError: Cannot load model stabilityai/stable-diffusion-xl-base-1.0: model is not cached locally and an error occured while trying to fetch metadata from the Hub. Please check out the root cause in the stacktrace above.
Container logs:
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