Slightly cleaner code.

comfy/sd.py

@@ -32,11 +32,10 @@ def load_model_from_config(config, ckpt, verbose=False, load_state_dict_to=[]):
             y = x.replace("cond_stage_model.transformer.", "cond_stage_model.transformer.text_model.")
             sd[y] = sd.pop(x)
 
-    try:
     if 'cond_stage_model.transformer.text_model.embeddings.position_ids' in sd:
-            sd['cond_stage_model.transformer.text_model.embeddings.position_ids'] = sd['cond_stage_model.transformer.text_model.embeddings.position_ids'].round()
-    except:
-        pass
+        ids = sd['cond_stage_model.transformer.text_model.embeddings.position_ids']
+        if ids.dtype == torch.float32:
+            sd['cond_stage_model.transformer.text_model.embeddings.position_ids'] = ids.round()
 
     for x in load_state_dict_to:
         x.load_state_dict(sd, strict=False)