I'm implementing Dreambooth-Stable-Diffusion On Google Colab.
I was able to install coda replicate the same steps mentioned in the repo above, and generate the regulation images successfully. However, I'm getting pytorch_lightning.utilities.exceptions.MisconfigurationException: No test dataloader() method defined to run Trainer.test after running the Training command.
Here is the full log:
trainer.test(model, data)
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 911, in test
return self._call_and_handle_interrupt(self._test_impl, model, dataloaders, ckpt_path, verbose, datamodule)
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 685, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 954, in _test_impl
results = self._run(model, ckpt_path=self.tested_ckpt_path)
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 1128, in _run
verify_loop_configurations(self)
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/configuration_validator.py", line 42, in verify_loop_configurations
__verify_eval_loop_configuration(trainer, model, "test")
File "/usr/local/lib/python3.8/site-packages/pytorch_lightning/trainer/configuration_validator.py", line 186, in __verify_eval_loop_configuration
raise MisconfigurationException(f"No `{loader_name}()` method defined to run `Trainer.{trainer_method}`.")
pytorch_lightning.utilities.exceptions.MisconfigurationException: No `test_dataloader()` method defined to run `Trainer.test`.
I tried this solution - even though it was hard to know where to exactly put the edit and I'm not 100%, but still, it didn't work.
