Update app.py

app.py

@@ -8,7 +8,7 @@ pipeline, pipeline_params = FlaxStableDiffusionPipeline.from_pretrained(
 
 
 def generate_image(prompt: str, inference_steps: int = 30, prng_seed: int = 0):
-    rng = jax.random.PRNGKey(prng_seed)
+    rng = jax.random.PRNGKey(int(prng_seed))
 
     prompt_ids = pipeline.prepare_inputs(prompt)
     images = pipeline(
@@ -43,7 +43,7 @@ app = gr.Interface(
         "Stable Diffusion Nano allows for fast prototyping of diffusion models, "
         "enabling quick experimentation with easily available hardware."
     ),
-    examples=[["A watercolor painting of a bird"]],
+    examples=[["A watercolor painting of a bird", 30, 0]],
 )
 
 app.launch()