diff --git a/comfy_extras/v3/nodes_stable_cascade.py b/comfy_extras/v3/nodes_stable_cascade.py
index af2893641..36d7e3321 100644
--- a/comfy_extras/v3/nodes_stable_cascade.py
+++ b/comfy_extras/v3/nodes_stable_cascade.py
@@ -30,42 +30,14 @@ class StableCascade_EmptyLatentImage_V3(io.ComfyNodeV3):
             node_id="StableCascade_EmptyLatentImage_V3",
             category="latent/stable_cascade",
             inputs=[
-                io.Int.Input(
-                    "width",
-                    default=1024,
-                    min=256,
-                    max=nodes.MAX_RESOLUTION, step=8,
-                ),
-                io.Int.Input(
-                    "height",
-                    default=1024,
-                    min=256,
-                    max=nodes.MAX_RESOLUTION,
-                    step=8,
-                ),
-                io.Int.Input(
-                    "compression",
-                    default=42,
-                    min=4,
-                    max=128,
-                    step=1,
-                ),
-                io.Int.Input(
-                    "batch_size",
-                    default=1,
-                    min=1,
-                    max=4096,
-                ),
+                io.Int.Input("width", default=1024,min=256,max=nodes.MAX_RESOLUTION, step=8),
+                io.Int.Input("height", default=1024, min=256, max=nodes.MAX_RESOLUTION, step=8),
+                io.Int.Input("compression", default=42, min=4, max=128, step=1),
+                io.Int.Input("batch_size", default=1, min=1, max=4096),
             ],
             outputs=[
-                io.Latent.Output(
-                    "stage_c",
-                    display_name="stage_c",
-                ),
-                io.Latent.Output(
-                    "stage_b",
-                    display_name="stage_b",
-                ),
+                io.Latent.Output("stage_c", display_name="stage_c"),
+                io.Latent.Output("stage_b", display_name="stage_b"),
             ],
         )
 
@@ -73,11 +45,7 @@ class StableCascade_EmptyLatentImage_V3(io.ComfyNodeV3):
     def execute(cls, width, height, compression, batch_size=1):
         c_latent = torch.zeros([batch_size, 16, height // compression, width // compression])
         b_latent = torch.zeros([batch_size, 4, height // 4, width // 4])
-        return ({
-            "samples": c_latent,
-        }, {
-            "samples": b_latent,
-        })
+        return io.NodeOutput({"samples": c_latent}, {"samples": b_latent})
 
 
 class StableCascade_StageC_VAEEncode_V3(io.ComfyNodeV3):
@@ -87,29 +55,13 @@ class StableCascade_StageC_VAEEncode_V3(io.ComfyNodeV3):
             node_id="StableCascade_StageC_VAEEncode_V3",
             category="latent/stable_cascade",
             inputs=[
-                io.Image.Input(
-                    "image",
-                ),
-                io.Vae.Input(
-                    "vae",
-                ),
-                io.Int.Input(
-                    "compression",
-                    default=42,
-                    min=4,
-                    max=128,
-                    step=1,
-                ),
+                io.Image.Input("image"),
+                io.Vae.Input("vae"),
+                io.Int.Input("compression", default=42, min=4, max=128, step=1),
             ],
             outputs=[
-                io.Latent.Output(
-                    "stage_c",
-                    display_name="stage_c",
-                ),
-                io.Latent.Output(
-                    "stage_b",
-                    display_name="stage_b",
-                ),
+                io.Latent.Output("stage_c", display_name="stage_c"),
+                io.Latent.Output("stage_b", display_name="stage_b"),
             ],
         )
 
@@ -124,11 +76,7 @@ class StableCascade_StageC_VAEEncode_V3(io.ComfyNodeV3):
 
         c_latent = vae.encode(s[:,:,:,:3])
         b_latent = torch.zeros([c_latent.shape[0], 4, (height // 8) * 2, (width // 8) * 2])
-        return ({
-            "samples": c_latent,
-        }, {
-            "samples": b_latent,
-        })
+        return io.NodeOutput({"samples": c_latent}, {"samples": b_latent})
 
 
 class StableCascade_StageB_Conditioning_V3(io.ComfyNodeV3):
@@ -138,17 +86,11 @@ class StableCascade_StageB_Conditioning_V3(io.ComfyNodeV3):
             node_id="StableCascade_StageB_Conditioning_V3",
             category="conditioning/stable_cascade",
             inputs=[
-                io.Conditioning.Input(
-                    "conditioning",
-                ),
-                io.Latent.Input(
-                    "stage_c",
-                ),
+                io.Conditioning.Input("conditioning"),
+                io.Latent.Input("stage_c"),
             ],
             outputs=[
-              io.Conditioning.Output(
-                  "CONDITIONING",
-              ),
+              io.Conditioning.Output(),
             ],
         )
 
@@ -160,7 +102,7 @@ class StableCascade_StageB_Conditioning_V3(io.ComfyNodeV3):
             d['stable_cascade_prior'] = stage_c['samples']
             n = [t[0], d]
             c.append(n)
-        return (c, )
+        return io.NodeOutput(c)
 
 
 class StableCascade_SuperResolutionControlnet_V3(io.ComfyNodeV3):
@@ -171,26 +113,13 @@ class StableCascade_SuperResolutionControlnet_V3(io.ComfyNodeV3):
             category="_for_testing/stable_cascade",
             is_experimental=True,
             inputs=[
-                io.Image.Input(
-                    "image",
-                ),
-                io.Vae.Input(
-                    "vae",
-                ),
+                io.Image.Input("image"),
+                io.Vae.Input("vae"),
             ],
             outputs=[
-                io.Image.Output(
-                    "controlnet_input",
-                    display_name="controlnet_input",
-                ),
-                io.Latent.Output(
-                    "stage_c",
-                    display_name="stage_c",
-                ),
-                io.Latent.Output(
-                    "stage_b",
-                    display_name="stage_b",
-                ),
+                io.Image.Output("controlnet_input", display_name="controlnet_input"),
+                io.Latent.Output("stage_c", display_name="stage_c"),
+                io.Latent.Output("stage_b", display_name="stage_b"),
             ],
         )
 
@@ -203,11 +132,7 @@ class StableCascade_SuperResolutionControlnet_V3(io.ComfyNodeV3):
 
         c_latent = torch.zeros([batch_size, 16, height // 16, width // 16])
         b_latent = torch.zeros([batch_size, 4, height // 2, width // 2])
-        return (controlnet_input, {
-            "samples": c_latent,
-        }, {
-            "samples": b_latent,
-        })
+        return io.NodeOutput(controlnet_input, {"samples": c_latent}, {"samples": b_latent})
 
 
 NODES_LIST: list[type[io.ComfyNodeV3]] = [