Update README.md

README.md

@@ -9,19 +9,15 @@ Please follow https://github.com/Tencent/HunyuanDiT/blob/main/controlnet/README.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/641edd91eefe94aff6de024c/yQ9PSkdpP9hss8Y4CXwAO.png)
 
-Inference
+remember modify the ./hydit/config.py change the line 50 to 
+    parser.add_argument("--control-type", type=str, default='canny', choices=['canny', 'depth', 'pose', 'tile'], help="Controlnet condition type")
+
+Inference example
 You can use the following command line for inference.
 
 a. Using canny ControlNet during inference
 
-python3 sample_controlnet.py  --no-enhance --load-key distill --infer-steps 50 --control-type canny --prompt "在夜晚的酒店门前，一座古老的中国风格的狮子雕像矗立着，它的眼睛闪烁着光芒，仿佛在守护着这座建筑。背景是夜晚的酒店前，构图方式是特写，平视，居中构图。这张照片呈现了真实摄影风格，蕴含了中国雕塑文化，同时展现了神秘氛围" --condition-image-path controlnet/asset/input/canny.jpg --control-weight 1.0
+python3 sample_controlnet.py  --no-enhance --load-key ema --infer-steps 100 --control-type tile --prompt "input your prompt here" --condition-image-path controlnet/asset/input/yourimg.jpg --control-weight 1.0
 b. Using pose ControlNet during inference
 
-python3 sample_controlnet.py  --no-enhance --load-key distill --infer-steps 50 --control-type depth --prompt "在茂密的森林中，一只黑白相间的熊猫静静地坐在绿树红花中，周围是山川和海洋。背景是白天的森林，光线充足" --condition-image-path controlnet/asset/input/depth.jpg --control-weight 1.0
-c. Using depth ControlNet during inference
-
-python3 sample_controlnet.py  --no-enhance --load-key distill --infer-steps 50 --control-type pose --prompt "一位亚洲女性，身穿绿色上衣，戴着紫色头巾和紫色围巾，站在黑板前。背景是黑板。照片采用近景、平视和居中构图的方式呈现真实摄影风格" --condition-image-path controlnet/asset/input/pose.jpg --control-weight 1.0
-
-you need to add the tile into the config.json file and place it in the cpkts/t2i/models/controlnet
-and rename to pytorch_model_ema.pt