Update README.md

README.md

@@ -60,6 +60,22 @@ image
    <img style="width:500px;" src="examples/output.jpg">
 </p>
 
+💡 Note: You can compute the conditioning map using for instance the `MidasDetector` from the `controlnet_aux` library
+
+```python
+from controlnet_aux import MidasDetector
+from diffusers.utils import load_image 
+
+midas = MidasDetector.from_pretrained("lllyasviel/Annotators")
+
+# Load an image
+im = load_image(
+  "https://huggingface.co/jasperai/jasperai/Flux.1-dev-Controlnet-Depth/resolve/main/examples/output.jpg"
+)
+
+surface = midas(im)
+```
+
 # Training
 This model was trained with depth maps computed with [Clipdrop's depth estimator model](https://clipdrop.co/apis/docs/portrait-depth-estimation) as well as open-souce depth estimation models such as Midas or Leres.