ZeroGPU

demo.py

@@ -653,13 +653,12 @@ def create_demo():
 
         gr.Markdown(
             """
-        ### 🎯 Purpose
         This demo showcases EchoFlow's ability to generate synthetic echocardiogram images and videos while preserving patient privacy. The pipeline consists of four main steps:
         
         1. **Latent Image Generation**: Draw a mask to indicate the region where the Left Ventricle should appear. Select the desired cardiac view, and click "Generate Latent Image". This outputs a latent image, which can be decoded into a pixel space image by clicking "Decode to Pixel Space".
         2. **Privacy Filter**: When clicking "Run Privacy Check", the generated image will be checked against a database of all training anatomies to ensure it is sufficiently different from real patient data.
         3. **Latent Video Generation**: If the privacy check passes, the latent image can be animated into a video with the desired Ejection Fraction.
-        4. **Video Decoding**: The video can be decoded into a pixel space video by clicking "Decode Video".
+        4. **Video Decoding**: The video can be decoded back to pixel space by clicking "Decode Video".
         
         ### ⚙️ Parameters
         - **Sampling Steps**: Higher values produce better quality but take longer