vec2face demo

app.py

@@ -92,7 +92,7 @@ def image_generation(input_image, quality, use_target_pose, pose, dimension):
     else:
         features = torch.repeat_interleave(torch.tensor(feature), 6, dim=0)
         features = sample_nearby_vectors(features, [0.7], [1]).float()
-        if quality > 25 and pose > 20:
+        if quality > 25 or pose > 20:
             images, _ = generator.gen_image(features, quality_model, id_model, pose_model=pose_model,
                                             q_target=quality, pose=pose, class_rep=features)
         else: