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import gradio as gr | |
from diffusers import DiffusionPipeline | |
import torch | |
def stable(prompt): | |
pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float32) | |
return pipeline(prompt).images[0] | |
demo = gr.Interface(fn=stable, inputs="text", outputs="image") | |
demo.launch() |