diff --git a/mani_skill2/envs/sapien_env.py b/mani_skill2/envs/sapien_env.py
index d18d99677..75da7fad4 100644
--- a/mani_skill2/envs/sapien_env.py
+++ b/mani_skill2/envs/sapien_env.py
@@ -42,6 +42,11 @@ class BaseEnv(gym.Env):
         sim_freq (int): simulation frequency (Hz)
         control_freq (int): control frequency (Hz)
         device (str): GPU device for renderer, e.g., 'cuda:x'
+        enable_shadow (bool): whether to enable shadow for lights. Defaults to False.
+        enable_gt_seg (bool): whether to include GT segmentaiton masks in observations. Defaults to False.
+        enable_kuafu (bool): whether to use KuafuRenderer (ray-tracing).
+            KuafuRenderer is only experimentally and partially supported now.
+        kuafu_kwargs (dict, optional): kwargs to set KuafuRenderer.
     """
 
     # fmt: off
@@ -65,14 +70,31 @@ def __init__(
         device: str = "",
         enable_shadow=False,
         enable_gt_seg=False,
+        enable_kuafu=False,
+        kuafu_kwargs: Optional[dict] = None,
     ):
-        # SAPIEN
+        # Create SAPIEN engine
         self._engine = sapien.Engine()
-        self._renderer = sapien.VulkanRenderer(default_mipmap_levels=1, device=device)
+
+        # Create SAPIEN renderer
+        self._enable_kuafu = enable_kuafu
+        if self._enable_kuafu:
+            kuafu_config = sapien.KuafuConfig()
+            if kuafu_kwargs is not None:
+                for k, v in kuafu_kwargs.items():
+                    setattr(kuafu_config, k, v)
+            self._renderer = sapien.KuafuRenderer(kuafu_config)
+            logger.warning("Only rgb is supported by KuafuRenderer.")
+        else:
+            self._renderer = sapien.VulkanRenderer(
+                default_mipmap_levels=1, device=device
+            )
         self._renderer.set_log_level("off")
+
         self._engine.set_renderer(self._renderer)
         self._viewer = None
 
+        # Set simulation and control frequency
         self._sim_freq = sim_freq
         self._control_freq = control_freq
         if sim_freq % control_freq != 0:
@@ -102,7 +124,7 @@ def __init__(
         self.enable_shadow = enable_shadow
 
         # For training purpose
-        self.enable_gt_seg = enable_gt_seg
+        self._enable_gt_seg = enable_gt_seg
 
         # TODO(jigu): `seed` is deprecated in the latest gym.
         self.seed()
@@ -187,9 +209,12 @@ def _get_obs_extra(self) -> OrderedDict:
 
     def _get_obs_rgbd(self, **kwargs) -> OrderedDict:
         # Overwrite options if using GT segmentation
-        if self.enable_gt_seg:
-            kwargs["visual_seg"] = True
-            kwargs["actor_seg"] = True
+        if self._enable_gt_seg:
+            kwargs.update(visual_seg=True, actor_seg=True)
+
+        # Overwrite options if using KuaFu renderer
+        if self._enable_kuafu:
+            kwargs.update(depth=False, visual_seg=False, actor_seg=False)
 
         return OrderedDict(
             image=self._get_obs_images(**kwargs),
@@ -240,9 +265,12 @@ def _get_camera_images(self, camera: sapien.CameraEntity, **kwargs) -> OrderedDi
     def _get_obs_pointcloud(self, **kwargs):
         """Fuse pointclouds from all cameras in the world frame."""
         # Overwrite options if using GT segmentation
-        if self.enable_gt_seg:
-            kwargs["visual_seg"] = True
-            kwargs["actor_seg"] = True
+        if self._enable_gt_seg:
+            kwargs.update(visual_seg=True, actor_seg=True)
+
+        # Overwrite options if using KuaFu renderer
+        if self._enable_kuafu:
+            raise NotImplementedError("Do not support pointcloud mode for KuafuRenderer yet.")
 
         self.update_render()
 
@@ -593,9 +621,16 @@ def render(self, mode="human", **kwargs):
             # NOTE(jigu): Must update renderer again
             # since some visual-only sites like goals should be hidden.
             self.update_render()
-            cameras_images = self._get_obs_images(
-                actor_seg=self.enable_gt_seg, visual_seg=self.enable_gt_seg
-            )
+
+            # Overwrite options if using GT segmentation
+            if self._enable_gt_seg:
+                kwargs.update(visual_seg=True, actor_seg=True)
+
+            # Overwrite options if using KuaFu renderer
+            if self._enable_kuafu:
+                kwargs.update(depth=False, visual_seg=False, actor_seg=False)
+
+            cameras_images = self._get_obs_images(**kwargs)
             for camera_images in cameras_images.values():
                 images.extend(observations_to_images(camera_images))
             return tile_images(images)