update

README.md

@@ -39,12 +39,18 @@ If you use this code, data or pre-trained weights, please cite our ICLR 2022 pap
 
 ## Using pre-trained weights from this Huggingface Space and Stable Diffusion In-painting
 
+<p align="center">
+  <strong>Huggingface ClimateGAN Space</strong>
+  <a href="https://huggingface.co/spaces/vict0rsch/climateGAN" target="_blank">
+    <img src="https://huggingface.co/vict0rsch/climateGAN/resolve/main/images/hf-cg.png">
+  </a>
+</p>
+
 1. Download code and model
-  ```
-  git clone https://huggingface.co/spaces/vict0rsch/climateGAN hf-spaces-climategan
-  cd hf-spaces-climategan
+  ```bash
   git lfs install
-  git lfs pull
+  git clone https://huggingface.co/vict0rsch/climateGAN
+  git lfs pull # optional if you don't have the weights
   ```
 2. Install requirements
   ```

app.py

@@ -87,7 +87,7 @@ TEXTS = [
         """
         ## How to use this Space
 
-        1. Enter an address or upload a Street View image
+        1. Enter an address or upload a Street View image (at least 640x640)
         2. Select the type of Painter you'd like to use for the flood renderings
         3. Click on the "See for yourself!" button
         4. Wait for the inference to complete, typically around 30 seconds