Google Collab Stable DIffusion XL Demo: module 'torch' has no attribute 'float8_e4m3fn'

[jroibal2]

I had successfully ran SDXL on Google Colab multiple times, however, I began receiving an error so I decided to look into another way of installation. I found this method, found the Google Colab notebook, and imported the notebook and I ensured I switched to GPUs. After successfully importing / loading from the first cell in the Google Colab Notebook, I received the following error message on the second cell:

RuntimeError: Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):
module 'torch' has no attribute 'float8_e4m3fn'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/content/stable-diffusion-xl-demo/app.py", line 3, in
from diffusers import DiffusionPipeline, LCMScheduler
File "", line 1075, in _handle_fromlist
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 911, in getattr
value = getattr(module, name)
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 910, in getattr
module = self._get_module(self._class_to_module[name])
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 922, in _get_module
raise RuntimeError(
RuntimeError: Failed to import diffusers.pipelines.pipeline_utils because of the following error (look up to see its traceback):
Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback):
module 'torch' has no attribute 'float8_e4m3fn'