test without transforms

app.py

@@ -32,17 +32,17 @@ generator = torch.manual_seed(0)
 def infer(prompt, negative_prompt, image):
     # implement your inference function here
 
-    cond_input = T.ToPILImage(conditioning_image_transforms(np.array(image)))
+    #cond_input = conditioning_image_transforms(np.array(image)))
     
     output = pipe(
         prompt,
-        cond_input,
+        image,
         generator=generator,
-        num_images_per_prompt=4,
+        num_images_per_prompt=1,
         num_inference_steps=20
             )
 
-    return output.images
+    return output.images[0]
 
 gr.Interface(
     infer,