Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+model_id = "SG161222/Realistic_Vision_V5.1_noVAE"
+
+# float16 + GPU
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16
+)
+pipe.to("cuda")
+
+def infer(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+demo = gr.Interface(
+    fn=infer,
+    inputs=gr.Textbox(label="Prompt"),
+    outputs=gr.Image(label="Generated Image")
+)
+
+if __name__ == "__main__":
+    demo.launch()