diff --git a/train.py b/train.py
index fe844c0..d378d86 100644
--- a/train.py
+++ b/train.py
@@ -78,7 +78,7 @@ def training(dataset, opt, pipe, testing_iterations, saving_iterations, checkpoi
                 net_image_bytes = None
                 custom_cam, do_training, pipe.convert_SHs_python, pipe.compute_cov3D_python, keep_alive, scaling_modifer = network_gui.receive()
                 if custom_cam != None:
-                    net_image = render(custom_cam, gaussians, pipe, background, scaling_modifer)["render"]
+                    net_image = render(custom_cam, gaussians, pipe, background, scaling_modifier=scaling_modifer, use_trained_exp=dataset.train_test_exp, separate_sh=SPARSE_ADAM_AVAILABLE)["render"]
                     net_image_bytes = memoryview((torch.clamp(net_image, min=0, max=1.0) * 255).byte().permute(1, 2, 0).contiguous().cpu().numpy())
                 network_gui.send(net_image_bytes, dataset.source_path)
                 if do_training and ((iteration < int(opt.iterations)) or not keep_alive):