Update app.py

app.py

@@ -866,23 +866,24 @@ def step1_gpu_refine(
 
 
         # ---- (옵션) 리드로우(img2img)
-        if do_redraw_flag:
-            from diffusers import StableDiffusionImg2ImgPipeline
-            pr = StableDiffusionImg2ImgPipeline.from_pretrained(
-                "runwayml/stable-diffusion-v1-5", torch_dtype=dtype,
-                safety_checker=None, feature_extractor=None
-            )
-            pr = _disable_safety(pr)
-            if dev == "cuda": pr.to("cuda")
-            img_for = _resize_to_multiple(img.convert("RGB"), 8, 640)
-            img = pr(
-                prompt="clean anime illustration, sharp lines, flat colors, plain white background",
-                negative_prompt="glitch, mosaic, text, watermark, noisy",
-                image=img_for,
-                strength=float(max(0.30, min(0.45, float(redraw_strength)))),
-                guidance_scale=float(max(6.5, min(9.0, float(redraw_guidance)))),
-                num_inference_steps=int(max(14, min(28, int(redraw_steps)))),
-            ).images[0].convert("RGBA")
+    if do_redraw_flag:
+        from diffusers import StableDiffusionImg2ImgPipeline
+        pr = StableDiffusionImg2ImgPipeline.from_pretrained(
+            "runwayml/stable-diffusion-v1-5", torch_dtype=dtype,
+            safety_checker=None, feature_extractor=None
+        )
+        pr = _disable_safety(pr)
+        if dev == "cuda": pr.to("cuda")
+        img_for = _resize_to_multiple(img.convert("RGB"), 8, 640)
+        img = pr(
+            prompt="clean anime illustration, sharp lines, flat colors, plain white background",
+            negative_prompt="glitch, mosaic, text, watermark, noisy",
+            image=img_for,
+            strength=float(max(0.30, min(0.45, float(redraw_strength)))),
+            guidance_scale=float(max(6.5, min(9.0, float(redraw_guidance)))),
+            num_inference_steps=int(max(14, min(28, int(redraw_steps)))),
+        ).images[0].convert("RGBA")
+
 
 
             img = out.convert("RGBA")