add more examples

README.md

@@ -1,5 +1,5 @@
 ---
-title: Diffusion Model
+title: Unconditional Image Generation Through Denoising Diffusion Implicit Models
 emoji: 🌼🌸🤗🏵️🌺
 colorFrom: yellow
 colorTo: red

app.py

@@ -4,7 +4,8 @@ import tensorflow as tf
 from huggingface_hub import from_pretrained_keras
 from diffusion_sampler import DiffusionSampler
 
-print('\n'.join([f'- {device.name}' for device in tf.config.list_physical_devices('GPU')]) or 'No GPU devices found.')
+devices = '\n'.join([f'- {device.name}' for device in tf.config.list_physical_devices('GPU')]) or 'No GPU devices found.'
+print(f"GPUs available: {devices}")
 
 scheduler_button = gr.Radio(
     choices=["Linear", "Cosine"],
@@ -124,9 +125,11 @@ demo = gr.Interface(
     cache_examples=True,
     title="""Unconditional Image Generation Through Denoising Diffusion Implicit Models""",
     examples=[
-        ["Linear", "DDPM", "Linear", True, 1_000, 10],
-        ["Cosine", "DDPM", "Linear", True, 750, 20],
-        ["Linear", "DDIM", "Linear", True, 750, 20]
+        ["Linear", "DDPM", "Linear", True, 1_000, 25],
+        ["Linear", "DDPM", "Linear", False, 1_000, 25],
+        ["Cosine", "DDPM", "Linear", False, 750, 25],
+        ["Cosine", "DDPM", "Linear", True, 750, 25],
+        ["Linear", "DDIM", "Linear", True, 750, 25],
     ],
     description="""                
         <p align="center">