Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipe = StableDiffusionPipeline.from_pretrained("sivar/legostyle1-5", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+def infer(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+gr.Interface(fn=infer, inputs="text", outputs="image").launch()