Normal: add full-res normal image inside the accordion

app.py

@@ -150,7 +150,7 @@ def _normal_to_rgb(normal_hwc: np.ndarray) -> np.ndarray:
 @spaces.GPU(duration=120)
 def predict(image: Image.Image, size: str, bg_mode: str):
     if image is None:
-        return None, None
+        return None, None, None
 
     image_pil = image.convert("RGB")
     image_rgb = np.array(image_pil)
@@ -166,11 +166,12 @@ def predict(image: Image.Image, size: str, bg_mode: str):
         raw[~mask] = np.nan
         normal[~mask] = -1.0                            # → RGB(0,0,0) after vis
     rgb = _normal_to_rgb(normal)
+    rgb_pil = Image.fromarray(rgb)
 
     npy_path = tempfile.NamedTemporaryFile(delete=False, suffix=".npy").name
     np.save(npy_path, raw.astype(np.float32))
 
-    return Image.fromarray(rgb), npy_path
+    return rgb_pil, rgb_pil, npy_path
 
 
 # -----------------------------------------------------------------------------
@@ -258,9 +259,10 @@ with gr.Blocks(title="Sapiens2 Normal", theme=gr.themes.Soft(), css=CUSTOM_CSS)
     gr.Examples(examples=EXAMPLES, inputs=inp, examples_per_page=14)
 
     with gr.Accordion("Original Res + Raw Normals", open=False):
+        out_img_full = gr.Image(label="Normal (original resolution)", type="pil")
         out_npy = gr.File(label="Raw normals (.npy float32 [-1, 1]; NaN where bg removed)")
 
-    run.click(predict, inputs=[inp, size, bg], outputs=[out_img, out_npy])
+    run.click(predict, inputs=[inp, size, bg], outputs=[out_img, out_img_full, out_npy])
 
 
 if __name__ == "__main__":