Update app.py

app.py

@@ -6,7 +6,7 @@ num_rows = 3
 num_cols = 3
 num_images = num_rows * num_cols
 image_size = 64
-plot_image_size = 64
+plot_image_size = 256
 
 model = hf_hub.from_pretrained_keras("beresandras/denoising-diffusion-model")
 
@@ -61,7 +61,7 @@ def generate_images(diffusion_steps, stochasticity, min_signal_rate, max_signal_
 gr.Interface(
     generate_images,
     inputs=[
-        gr.inputs.Slider(1, 20, default=10, label="Diffusion steps"),
+        gr.inputs.Slider(1, 20, step=1, default=10, label="Diffusion steps"),
         gr.inputs.Slider(0.0, 1.0, step=0.05, default=0.0, label="Stochasticity"),
         gr.inputs.Slider(0.02, 0.10, step=0.01, default=0.02, label="Minimal signal rate"),
         gr.inputs.Slider(0.80, 0.95, step=0.01, default=0.95, label="Maximal signal rate"),