load_model

app.py

@@ -136,12 +136,10 @@ def outpaint_image(image):
 
 @spaces.GPU
 def predict_image(cond_image, prompt, negative_prompt):
+  global pipe
   generator = torch.Generator()
   generator.manual_seed(random.randint(0, 2147483647))
 
-  prompt = 'position map, 1girl, white background'
-  negative_prompt = "lowres, bad anatomy, bad hands, bad feet, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry"
-
   image = pipe(
       prompt,
       prompt,