diff --git a/examples/research_projects/consistency_training/train_cm_ct_unconditional.py b/examples/research_projects/consistency_training/train_cm_ct_unconditional.py
index b7a1e2a545f8..eccc539f230c 100644
--- a/examples/research_projects/consistency_training/train_cm_ct_unconditional.py
+++ b/examples/research_projects/consistency_training/train_cm_ct_unconditional.py
@@ -1195,7 +1195,7 @@ def unwrap_model(model):
 
     # Resolve the c parameter for the Pseudo-Huber loss
     if args.huber_c is None:
-        args.huber_c = 0.00054 * args.resolution * math.sqrt(unet.config.in_channels)
+        args.huber_c = 0.00054 * args.resolution * math.sqrt(unwrap_model(unet).config.in_channels)
 
     # Get current number of discretization steps N according to our discretization curriculum
     current_discretization_steps = get_discretization_steps(