Upload matryoshka.py

scheduler/matryoshka.py

@@ -4660,7 +4660,7 @@ class MatryoshkaPipeline(
                 for i in range(len(image))
                 ]
             for i, (img, scale) in enumerate(zip(image, scales)):
-                # img = torch.clip(img * scale, -1, 1)
+                img = torch.clip(img * scale, -1, 1)
                 img = torch.clamp(img * 0.5 + 0.5, min=0, max=1).cpu()
                 img = img.squeeze(0).permute(1, 2, 0).numpy()
                 # img = self.image_processor.pt_to_numpy(img)