Update README.md

README.md

@@ -20,7 +20,7 @@ pipeline_tag: text-to-image
 InstantID is a new state-of-the-art tuning-free method to achieve ID-Preserving generation with only single image.
 
 <div  align="center">
-![results](./examples/0.png)
+<img src='examples/0.png' width='65%' height='65%'>
 </div>
 
 
@@ -34,22 +34,6 @@ from huggingface_hub import hf_hub_download
 hf_hub_download(repo_id="InstantX/InstantID", local_dir="./checkpoints")
 ```
 
-
-```python
-
-import cv2
-from insightface.app import FaceAnalysis
-import torch
-
-app = FaceAnalysis(name="buffalo_l", providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
-app.prepare(ctx_id=0, det_size=(640, 640))
-
-image = cv2.imread("person.jpg")
-faces = app.get(image)
-
-faceid_embeds = torch.from_numpy(faces[0].normed_embedding).unsqueeze(0)
-```
-
 For more details, please follow the instructions in our [GitHub repository](https://github.com/InstantID/InstantID).