diff --git a/comfy/model_base.py b/comfy/model_base.py
index fefce763..421f271b 100644
--- a/comfy/model_base.py
+++ b/comfy/model_base.py
@@ -474,15 +474,11 @@ class StableCascade_B(BaseModel):
 
         clip_text_pooled = kwargs["pooled_output"]
         if clip_text_pooled is not None:
-            out['clip_text_pooled'] = comfy.conds.CONDRegular(clip_text_pooled)
+            out['clip'] = comfy.conds.CONDRegular(clip_text_pooled)
 
         #size of prior doesn't really matter if zeros because it gets resized but I still want it to get batched
         prior = kwargs.get("stable_cascade_prior", torch.zeros((1, 16, (noise.shape[2] * 4) // 42, (noise.shape[3] * 4) // 42), dtype=noise.dtype, layout=noise.layout, device=noise.device))
 
         out["effnet"] = comfy.conds.CONDRegular(prior)
         out["sca"] = comfy.conds.CONDRegular(torch.zeros((1,)))
-
-        cross_attn = kwargs.get("cross_attn", None)
-        if cross_attn is not None:
-            out['clip'] = comfy.conds.CONDCrossAttn(cross_attn)
         return out