Update app.py

app.py

@@ -275,7 +275,11 @@ def run_lora(face_image, prompt, negative, lora_scale, selected_state, face_stre
                 pipe.load_textual_inversion(state_dict_embedding["text_encoders_1"], token=["<s0>", "<s1>"], text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
 
     conditioning, pooled = compel(prompt)
-    negative_conditioning, negative_pooled = compel(negative)
+    if(negative):
+        negative_conditioning, negative_pooled = compel(negative)
+    else:
+        negative_conditioning, negative_pooled = None, None
+        
     image = pipe(
         prompt_embeds=conditioning,
         pooled_prompt_embeds=pooled,