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import gradio as gr
from diffusers import DiffusionPipeline
generator = DiffusionPipeline.from_pretrained("anton-l/ddpm-ema-flowers-64")
#generator = DiffusionPipeline.from_pretrained("google/ddpm-celebahq-256")
#generator.to("cuda")
def greet(name):
image = generator().images[0]
return image
iface = gr.Interface(fn=greet, inputs="text", outputs="image")
iface.launch()
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