diff --git a/README.md b/README.md
index fa51a8f..b4483f1 100644
--- a/README.md
+++ b/README.md
@@ -33,22 +33,69 @@ pip install -e .
 - [x] Support WholeBody
 - [x] Support ONNXRuntime backend
 - [x] Support auto download and cache models
-- [ ] Lightweight models
+- [x] Lightweight models
 - [ ] Support alias to choose model
 - [ ] Support PoseTracker proposed in RTMPose
 - [ ] Support TensorRT backend
 - [x] Gradio interface
-- [ ] Compatible with Controlnet
+- [x] Compatible with Controlnet
 
 ## Model Zoo
 
-Here are some models we have converted to onnx format.
+By defaults, rtmlib will automatically download and apply models with the best performace. But you can also specify the model you want to use by passing the `onnx_model` argument.
+
+More models can be found in [RTMPose Model Zoo](https://github.com/open-mmlab/mmpose/tree/dev-1.x/projects/rtmpose).
+
+Here are some onnx models converted:
 
 |                                              Det                                              |                                                    Pose                                                     |
 | :-------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------: |
-| [YOLOX-l](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing) | [RTMPose-m](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.zip) |
+|  | [RTMPose-m](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.zip) |
 
-More models can be found in [RTMPose Model Zoo](https://github.com/open-mmlab/mmpose/tree/dev-1.x/projects/rtmpose).
+### Detectors
+
+<details open>
+<summary><b>Person</b></summary>
+
+Notes:
+- Models trained on HumanArt can detect both real human and cartoon characters.
+- Models trained on COCO can only detect real human.
+
+| ONNX Model | Input Size | Description |
+| :--------: | :--------: | :--------: |
+| [YOLOX-l](https://drive.google.com/file/d/1w9pXC8tT0p9ndMN-CArp1__b2GbzewWI/view?usp=sharing) | 640x640 | trained on COCO val2017 |
+| [YOLOX-nano](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_nano_8xb8-300e_humanart-40f6f0d0.zip) | 416x416 | trained on HumanArt |
+| [YOLOX-tiny](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_tiny_8xb8-300e_humanart-6f3252f9.zip) | 416x416 | trained on HumanArt |
+| [YOLOX-s](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_s_8xb8-300e_humanart-3ef259a7.zip) | 640x640 | trained on HumanArt |
+| [YOLOX-m](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_m_8xb8-300e_humanart-c2c7a14a.zip) | 640x640 | trained on HumanArt |
+| [YOLOX-l](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_l_8xb8-300e_humanart-ce1d7a62.zip) | 640x640 | trained on HumanArt |
+| [YOLOX-x](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/yolox_x_8xb8-300e_humanart-a39d44ed.zip) | 640x640 | trained on HumanArt |
+
+</details>
+
+### Pose Estimators
+
+<details open>
+<summary><b>Body</b></summary>
+
+| ONNX Model | Input Size | Description |
+| :--------: | :--------: | :--------: |
+| [RTMPose-t](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-t_simcc-body7_pt-body7_420e-256x192-026a1439_20230504.zip) | 256x192 | Body 17 Keypoints |
+| [RTMPose-s](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-s_simcc-body7_pt-body7_420e-256x192-acd4a1ef_20230504.zip) | 256x192 | Body 17 Keypoints |
+| [RTMPose-m](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-m_simcc-body7_pt-body7_420e-256x192-e48f03d0_20230504.zip) | 256x192 | Body 17 Keypoints |
+| [RTMPose-l](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-l_simcc-body7_pt-body7_420e-384x288-3f5a1437_20230504.zip) | 384x288 | Body 17 Keypoints |
+| [RTMPose-x](https://download.openmmlab.com/mmpose/v1/projects/rtmposev1/onnx_sdk/rtmpose-x_simcc-body7_pt-body7_700e-384x288-71d7b7e9_20230629.zip) | 384x288 | Body 17 Keypoints |
+
+</details>
+
+<details open>
+<summary><b>WholeBody</b></summary>
+
+| ONNX Model | Input Size | Description |
+| :--------: | :--------: | :--------: |
+| [RTMW-x](https://download.openmmlab.com/mmpose/v1/projects/rtmw/onnx_sdk/rtmw-x_simcc-cocktail13_pt-ucoco_270e-384x288-0949e3a9_20230925.zip) | 384x288 | Wholebody 133 Keypoints |
+
+</details>
 
 ## Demo