Update remesh iterations and device handling in generate3d function

- Increased remesh iterations from 1 to 3 to enhance mesh quality during generation.
- Updated tensor transfer to use the specified device instead of defaulting to CUDA, improving flexibility for different hardware configurations.

inference.py

@@ -67,9 +67,13 @@ def generate3d(model, rgb, ccm, device):
         
 
     from kiui.mesh_utils import clean_mesh
-    verts, faces = clean_mesh(data_config['verts'].squeeze().cpu().numpy().astype(np.float32), data_config['faces'].squeeze().cpu().numpy().astype(np.int32), repair = False, remesh=True, remesh_size=0.005, remesh_iters=1)
-    data_config['verts'] = torch.from_numpy(verts).cuda().contiguous()
-    data_config['faces'] = torch.from_numpy(faces).cuda().contiguous()
+    verts, faces = clean_mesh(
+        data_config['verts'].squeeze().cpu().numpy().astype(np.float32),
+        data_config['faces'].squeeze().cpu().numpy().astype(np.int32),
+        repair=False, remesh=True, remesh_size=0.005, remesh_iters=3
+    )
+    data_config['verts'] = torch.from_numpy(verts).to(device).contiguous()
+    data_config['faces'] = torch.from_numpy(faces).to(device).contiguous()
 
     start_time = time.time()
     with torch.no_grad():