key name in ip-adapter weight state_dict()

[shixishi]

In tutorial_train.py, the code of IPAdapter Class
def load_from_checkpoint(self, ckpt_path: str):
# Calculate original checksums
orig_ip_proj_sum = torch.sum(torch.stack([torch.sum(p) for p in self.image_proj_model.parameters()]))
orig_adapter_sum = torch.sum(torch.stack([torch.sum(p) for p in self.adapter_modules.parameters()]))

    state_dict = torch.load(ckpt_path, map_location="cpu")

    # Load state dict for image_proj_model and adapter_modules
    self.image_proj_model.load_state_dict(state_dict["image_proj"], strict=True)
    self.adapter_modules.load_state_dict(state_dict["ip_adapter"], strict=True)

    # Calculate new checksums
    new_ip_proj_sum = torch.sum(torch.stack([torch.sum(p) for p in self.image_proj_model.parameters()]))
    new_adapter_sum = torch.sum(torch.stack([torch.sum(p) for p in self.adapter_modules.parameters()]))

    # Verify if the weights have changed
    assert orig_ip_proj_sum != new_ip_proj_sum, "Weights of image_proj_model did not change!"
    assert orig_adapter_sum != new_adapter_sum, "Weights of adapter_modules did not change!"

    print(f"Successfully loaded weights from checkpoint {ckpt_path}")

""
self.image_proj_model.load_state_dict(state_dict["image_proj"], strict=True)
self.adapter_modules.load_state_dict(state_dict["ip_adapter"], strict=True)
""
Why there are "image_proj" key name and "ip_adapter" key name in state_dict?
How are key names generated in state_dict?