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app.py

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+import gradio as gr 
+from diffusers import DiffusionPipeline
+
+ldm = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256")
+
+def inference(prompt):
+    images = ldm([prompt],
+                      num_inference_steps=10,
+                      eta=0.3,
+                      guidance_scale=6)["sample"]
+    return images
+
+gr.Interface(inference, "text", gr.Gallery()).launch()