AttributeError: module 'main' has no attribute 'LearningRateMonitor'

[xukun12138]

Loading model from {ckpt} {self.class.name}: Running in {self.parameterization}-prediction mode DiffusionWrapper has 872.30 M params. making attention of type 'vanilla' with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type 'vanilla' with 512 in_channels Restored from {path} with {len(missing)} missing and {len(unexpected)} unexpected keys Monitoring {model.monitor} as checkpoint metric. Merged modelckpt-cfg: {modelckpt_cfg} Traceback (most recent call last): File "/media/server1/HDD1/textual-inversion/main.py", line 750, in trainer_kwargs["callbacks"] = [instantiate_from_config(callbacks_cfg[k]) for k in callbacks_cfg] File "/media/server1/HDD1/textual-inversion/main.py", line 750, in trainer_kwargs["callbacks"] = [instantiate_from_config(callbacks_cfg[k]) for k in callbacks_cfg] File "/media/server1/HDD1/textual-inversion/ldm/util.py", line 85, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict()), **kwargs) File "/media/server1/HDD1/textual-inversion/ldm/util.py", line 93, in get_obj_from_str return getattr(importlib.import_module(module, package=None), cls) AttributeError: module 'main' has no attribute 'LearningRateMonitor'

I had a problem reproducing TI's code according to the readme, and I couldn't solve it. I tried generating my own embedding with --base configs/latent-diffusion/txt2img-1p4B-finetune.yaml