implet app.py

app.py

@@ -1,7 +1,15 @@
 import gradio as gr
+from diffusers import DiffusionPipeline, DDIMScheduler
 
-def greet(name):
-    return "Hello " + name + "!!"
+scheduler = DDIMScheduler.from_pretrained('li-yan/diffusion-aurora-256')
+scheduler.set_timesteps(num_inference_steps=40)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+pipeline = DiffusionPipeline.from_pretrained(
+    'li-yan/diffusion-aurora-256', scheduler=scheduler).to("cuda")
+
+def image_gen(name):
+	images = pipeline(num_inference_steps=40).images
+	return images[0]
+
+demo = gr.Interface(fn=image_gen, inputs="text", outputs="image")
 demo.launch()