chore: sync with upstream

app.py

@@ -113,6 +113,9 @@ lora_cache = {
     base_name: LoRANetwork(text_encoder, unet)
 }
 
+te_base_weight_length = text_encoder.get_input_embeddings().weight.data.shape[0]
+original_prepare_for_tokenization = tokenizer.prepare_for_tokenization
+
 def setup_model(name, lora_state=None, lora_scale=1.0):
     global pipe
 
@@ -169,10 +172,6 @@ def error_str(error, title="Error"):
         else ""
     )
 
-
-te_base_weight_length = text_encoder.get_input_embeddings().weight.data.shape[0]
-original_prepare_for_tokenization = tokenizer.prepare_for_tokenization
-
 def make_token_names(embs):
     all_tokens = []
     for name, vec in embs.items():