skip DINOv2 pretrained weights download (output is unused, checkpoint provides architecture weights)

ldm/modules/encoders/modules.py

@@ -266,7 +266,7 @@ class DINOEmbedder(AbstractEncoder):
         # embedding_size = embedding_sizes[dino_version]
         letter = letter_map[dino_version]
         # self.transformer = CLIPVisionModel.from_pretrained(version)
-        self.dino_model = torch.hub.load('facebookresearch/dinov2', f'dinov2_vit{letter}14_reg').cuda()
+        self.dino_model = torch.hub.load('facebookresearch/dinov2', f'dinov2_vit{letter}14_reg', pretrained=False).cuda()
 
 
         self.freeze()