Fix bug

app.py

@@ -141,30 +141,30 @@ def qr_stylize(url: str, style_prompt: str, negative: str, steps: int, cfg: floa
     gc.collect()
 
     with torch.autocast(device_type="cuda", dtype=DTYPE):
-    try:
-        # diffusers ≥ 0.30.x uses `image=` for ControlNet’s conditioning input
-        out = pipe(
-            prompt=str(style_prompt),
-            negative_prompt=str(negative or ""),
-            image=qr_img,  # <-- use `image`
-            controlnet_conditioning_scale=float(qr_weight),
-            num_inference_steps=int(steps),
-            guidance_scale=float(cfg),
-            width=s, height=s,
-            generator=gen,
-        )
-    except TypeError:
-        # fallback for older versions that still expect `control_image=`
-        out = pipe(
-            prompt=str(style_prompt),
-            negative_prompt=str(negative or ""),
-            control_image=qr_img,
-            controlnet_conditioning_scale=float(qr_weight),
-            num_inference_steps=int(steps),
-            guidance_scale=float(cfg),
-            width=s, height=s,
-            generator=gen,
-        )
+        try:
+            # diffusers ≥ 0.30.x uses `image=` for ControlNet’s conditioning input
+            out = pipe(
+                prompt=str(style_prompt),
+                negative_prompt=str(negative or ""),
+                image=qr_img,  # <-- use `image`
+                controlnet_conditioning_scale=float(qr_weight),
+                num_inference_steps=int(steps),
+                guidance_scale=float(cfg),
+                width=s, height=s,
+                generator=gen,
+            )
+        except TypeError:
+            # fallback for older versions that still expect `control_image=`
+            out = pipe(
+                prompt=str(style_prompt),
+                negative_prompt=str(negative or ""),
+                control_image=qr_img,
+                controlnet_conditioning_scale=float(qr_weight),
+                num_inference_steps=int(steps),
+                guidance_scale=float(cfg),
+                width=s, height=s,
+                generator=gen,
+            )
 
     img = out.images[0]
     img = enforce_qr_contrast(img, qr_img, strength=float(repair_strength), feather=float(feather))