Update app.py

app.py

@@ -176,8 +176,6 @@ tag_model.to(device, dtype=weight_dtype)
 def process(
     input_image: Image.Image,
     user_prompt: str,
-    positive_prompt: str,
-    negative_prompt: str,
     num_inference_steps: int,
     scale_factor: int,
     cfg_scale: float,
@@ -186,6 +184,8 @@ def process(
     latent_tiled_overlap: int,
     sample_times: int
     ) -> List[np.ndarray]:
+    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
     resize_preproc = transforms.Compose([
         transforms.Resize(process_size, interpolation=transforms.InterpolationMode.BILINEAR),
@@ -290,8 +290,6 @@ with block:
                     [
                         "preset/datasets/test_datasets/179.png", 
                         "",
-                        "clean, high-resolution, 8k, best quality, masterpiece",
-                        "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                         50,
                         4,
                         7.5,
@@ -303,8 +301,6 @@ with block:
                     [
                         "preset/datasets/test_datasets/apologise.png", 
                         "",
-                        "clean, high-resolution, 8k, best quality, masterpiece",
-                        "dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                         50,
                         4,
                         7.5,
@@ -317,8 +313,6 @@ with block:
                 inputs=[
                     input_image,
                     user_prompt,
-                    positive_prompt,
-                    negative_prompt,
                     num_inference_steps,
                     scale_factor,
                     cfg_scale,
@@ -334,8 +328,6 @@ with block:
     inputs = [
         input_image,
         user_prompt,
-        positive_prompt,
-        negative_prompt,
         num_inference_steps,
         scale_factor,
         cfg_scale,