Trying to get this running locally

app.py

@@ -1,40 +1,40 @@
-# import gradio as gr
-# from diffusers import DiffusionPipeline
+import gradio as gr
+from diffusers import DiffusionPipeline
 
-# # get_completion = pipeline("image-to-text",model="nlpconnect/vit-gpt2-image-captioning")
+# get_completion = pipeline("image-to-text",model="nlpconnect/vit-gpt2-image-captioning")
 
-# # pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
-# pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+# pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
+pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
 
-# # def summarize(input):
-# #     output = get_completion(input)
-# #     return output[0]['generated_text']
+# def summarize(input):
+#     output = get_completion(input)
+#     return output[0]['generated_text']
 
-# # def captioner(image):
-# #     result = get_completion(image)
-# #     return result[0]['generated_text']
+# def captioner(image):
+#     result = get_completion(image)
+#     return result[0]['generated_text']
 
-# def generate(prompt):
-#     return pipeline(prompt).images[0]    
+def generate(prompt):
+    return pipeline(prompt).images[0]    
 
-# gr.close_all()
-# demo = gr.Interface(fn=generate,
-#                     inputs=[gr.Textbox(label="Your prompt")],
-#                     outputs=[gr.Image(label="Result")],
-#                     title="Image Generation with Stable Diffusion",
-#                     description="Generate any image with Stable Diffusion",
-#                     allow_flagging="never",
-#                     examples=["the spirit of a tamagotchi wandering in the city of Vienna","a mecha robot in a favela"])
+gr.close_all()
+demo = gr.Interface(fn=generate,
+                    inputs=[gr.Textbox(label="Your prompt")],
+                    outputs=[gr.Image(label="Result")],
+                    title="Image Generation with Stable Diffusion",
+                    description="Generate any image with Stable Diffusion",
+                    allow_flagging="never",
+                    examples=["the spirit of a tamagotchi wandering in the city of Vienna","a mecha robot in a favela"])
 
-# demo.launch()
+demo.launch()
 
 
-import gradio as gr
+# import gradio as gr
 
-gr.close_all()
-demo = gr.load(name="models/stabilityai/stable-diffusion-xl-base-1.0",
-               title='PicassoBot Large',
-               enable_queue=True,
-               description='Because paint splatters are so last century')
+# gr.close_all()
+# demo = gr.load(name="models/stabilityai/stable-diffusion-xl-base-1.0",
+#                title='PicassoBot Large',
+#                enable_queue=True,
+#                description='Because paint splatters are so last century')
 
-demo.launch(enable_queue=True)
+# demo.launch(enable_queue=True)