Make it easier to designate lora blocks for new models. Improve i2v adapter speed. Fix issue with i2v adapter where cached torch tensor was wrong range.

toolkit/stable_diffusion_model.py

@@ -4,7 +4,7 @@ import json
 import random
 import shutil
 import typing
-from typing import Union, List, Literal, Iterator
+from typing import Optional, Union, List, Literal, Iterator
 import sys
 import os
 from collections import OrderedDict
@@ -3079,3 +3079,7 @@ class StableDiffusion:
     def condition_noisy_latents(self, latents: torch.Tensor, batch:'DataLoaderBatchDTO'):
         # can be overridden in child classes to condition latents before noise prediction
         return latents
+    
+    def get_transformer_block_names(self) -> Optional[List[str]]:
+        # override in child classes to get transformer block names for lora targeting
+        return None