Update app.py

app.py

@@ -175,18 +175,18 @@ tag_model.to(device, dtype=weight_dtype)
 @spaces.GPU()
 def process(
     input_image: Image.Image,
-    user_prompt: str,
-    num_inference_steps: int,
-    scale_factor: int,
-    cfg_scale: float,
-    seed: int,
-    latent_tiled_size: int,
-    latent_tiled_overlap: int,
-    sample_times: int
-    ) -> List[np.ndarray]:
+    user_prompt = "",
     positive_prompt = "clean, high-resolution, 8k, best quality, masterpiece",
     negative_prompt = "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
-    process_size = 512
+    num_inference_steps = 50,
+    scale_factor = 4,
+    cfg_scale = 7.5,
+    seed = 123,
+    latent_tiled_size = 320,
+    latent_tiled_overlap = 4,
+    sample_times = 1,
+    ) -> List[np.ndarray]:
+   process_size = 512
     resize_preproc = transforms.Compose([
         transforms.Resize(process_size, interpolation=transforms.InterpolationMode.BILINEAR),
     ])
@@ -289,37 +289,13 @@ with block:
                 examples=[
                     [
                         "preset/datasets/test_datasets/179.png", 
-                        "",
-                        50,
-                        4,
-                        7.5,
-                        123,
-                        320,
-                        4,
-                        1,
                     ],         
                     [
                         "preset/datasets/test_datasets/apologise.png", 
-                        "",
-                        50,
-                        4,
-                        7.5,
-                        123,
-                        320,
-                        4,
-                        1,
                     ], 
                 ],
                 inputs=[
                     input_image,
-                    user_prompt,
-                    num_inference_steps,
-                    scale_factor,
-                    cfg_scale,
-                    seed,
-                    latent_tiled_size,
-                    latent_tiled_overlap,
-                    sample_times,
                 ],
                 outputs=[result_gallery],
                 fn=process,
@@ -327,14 +303,6 @@ with block:
             )
     inputs = [
         input_image,
-        user_prompt,
-        num_inference_steps,
-        scale_factor,
-        cfg_scale,
-        seed,
-        latent_tiled_size,
-        latent_tiled_overlap,
-        sample_times,
     ]
     run_button.click(fn=process, inputs=inputs, outputs=[result_gallery])