Allow dataloader to encode first frame with the text embeddings if the model needs it.

toolkit/data_loader.py

@@ -533,6 +533,7 @@ class AiToolkitDataset(LatentCachingMixin, ControlCachingMixin, CLIPCachingMixin
                     size_database=self.size_database,
                     dataset_root=dataset_folder,
                     encode_control_in_text_embeddings=self.sd.encode_control_in_text_embeddings if self.sd else False,
+                    encode_first_frame_in_text_embeddings=getattr(self.sd, 'encode_first_frame_in_text_embeddings', False) if self.sd else False,
                     text_embedding_space_version=self.sd.text_embedding_space_version if self.sd else "sd1",
                     te_padding_side=self.sd.te_padding_side if self.sd else "right",
                     latent_space_version=latent_space_version,