fix: textual inversion conditioning.

convert.py

@@ -54,7 +54,7 @@ def initialize_tf_models(
         img_height=IMG_HEIGHT, img_width=IMG_WIDTH
     )
 
-    if text_encoder_weights is None:
+    if text_encoder_weights is None or placeholder_token is not None:
         tf_text_encoder = tf_sd_model.text_encoder
     else:
         tf_text_encoder = keras_cv.models.stable_diffusion.TextEncoder(