diff --git a/adv_control/control.py b/adv_control/control.py
index 27e3d84..112bbe1 100644
--- a/adv_control/control.py
+++ b/adv_control/control.py
@@ -545,7 +545,7 @@ def load_controlnet(ckpt_path, timestep_keyframe: TimestepKeyframeGroup=None, mo
             has_temporal_res_block_key = True
         # ControlNet++ check
         elif "task_embedding" in key:
-            raise Exception("ControlNet++ model detected; must be loaded using the Load ControlNet++ Model nodes.")
+            pass
 
     if has_controlnet_key and has_motion_modules_key:
         controlnet_type = ControlWeightType.SPARSECTRL
diff --git a/adv_control/control_plusplus.py b/adv_control/control_plusplus.py
index 3e2d8c4..b4da295 100644
--- a/adv_control/control_plusplus.py
+++ b/adv_control/control_plusplus.py
@@ -164,7 +164,7 @@ def union_controlnet_merge(self, hint: list[Tensor], control_type, emb, context)
             controlnet_cond = self.input_hint_block(hint[indexes[idx][0]], emb, context)
             feat_seq = torch.mean(controlnet_cond, dim=(2, 3))
             if idx < indexes.shape[0]:
-                feat_seq += self.task_embedding[indexes[idx][0]]
+                feat_seq += self.task_embedding[indexes[idx][0]].to(dtype=feat_seq.dtype, device=feat_seq.device)
 
             inputs.append(feat_seq.unsqueeze(1))
             condition_list.append(controlnet_cond)