CANT USE WITH GOOGLE COLAB
The error message RuntimeError: Failed to import diffusers... Failed to import transformers... partially initialized module 'torchvision' has no attribute 'extension' indicates a problem when trying to import modules from the diffusers and transformers libraries, which in turn is caused by an issue with importing torchvision. The core of the problem is the partially initialized module 'torchvision' has no attribute 'extension' error, which typically arises from a circular import or an incompatibility between the versions of torchvision, transformers, and diffusers you have installed.
This means that when Python tries to load these libraries, they are getting into a state where they are trying to import from each other before they are fully loaded, leading to the 'partially initialized module' error. The specific error about torchvision.extension suggests a conflict in how these libraries are expecting to interact with torchvision's underlying implementation details.
Unfortunately, resolving this kind of error by simply changing the installation order or slightly adjusting versions can be challenging, as it often requires finding a specific combination of torch, torchvision, transformers, and diffusers versions that are known to be compatible with each other and the environment you're running in (Colab).
Since I cannot definitively determine the correct compatible versions or resolve the circular import issue programmatically without further information or experimentation, I recommend the following steps:
Check Library Compatibility Tables: Look for compatibility matrices or tables provided by the developers of transformers, diffusers, and torchvision. These often list which versions are known to work well together.
Consult Community Resources: Search forums, GitHub issues, and discussion boards related to these libraries. It's likely that other users have encountered this specific error and may have found a working solution or a recommended set of versions.
Consider Using a Different Environment: If possible, try running the code in a different environment (e.g., a local setup with carefully managed dependencies) to see if the issue is specific to the Colab environment or the interaction of pre-installed packages.
Without a known working combination of these libraries for this specific error, a direct code fix is not immediately possible.