Modificamos para usar stable difusion

app.py

@@ -1,7 +1,10 @@
 import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
 
-def greet(name):
-    return "Hello " + name + "!!"
+def stable(prompt):
+    pipeline = DiffusionPipeline.from_pretrained("sd-legacy/stable-diffusion-v1-5", torch_dtype=torch.float32)
+    return pipeline(prompt).images[0]
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo = gr.Interface(fn=stable, inputs="text", outputs="image")
 demo.launch()