Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id)
+pipe = pipe.to("cuda" if torch.cuda.is_available() else "cpu")
+
+def generate(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+iface = gr.Interface(fn=generate, inputs="text", outputs="image")
+iface.launch()