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from diffusers import DiffusionPipeline
import torch
import gradio as gr
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float32, use_safetensors=True, variant="fp16")
pipe.to("cpu") # Note the change here
def generate_image(prompt):
images = pipe(prompt='an highly detailed , highly realistic'+prompt).images[0]
return images
iface = gr.Interface(fn=generate_image, inputs="text", outputs="image")
iface.launch()
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