Use PNDM as default scheduler

model.py

@@ -180,8 +180,8 @@ class Model:
         return PIL.Image.fromarray(grid)
 
     def run_simple(self) -> tuple[PIL.Image.Image, PIL.Image.Image]:
-        self.set_pipeline(self.MODEL_NAMES[0], 'DDIM')
-        seed = self.rng.randint(0, 1000000)
+        self.set_pipeline(self.MODEL_NAMES[0], 'PNDM')
+        seed = self.rng.randint(0, np.iinfo(np.uint32).max + 1)
         images = self.generate(seed, num_steps=10, num_images=4)
         superresolved = [self.superresolve(image) for image in images]
         return self.to_grid(superresolved, 2), self.to_grid(images, 2)