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e0ef166 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | import torch
from diffusers import StableDiffusionPipeline
import gradio as gr
# Load Stable Diffusion model (we'll run it on CPU)
pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
pipe.to("cpu")
# Inference function to generate an image from text prompt
def generate_image(prompt):
image = pipe(prompt).images[0]
return image
# Gradio interface for text-to-image generation
iface = gr.Interface(
fn=generate_image,
inputs="text", # User will input a text prompt
outputs="image", # The output will be an image
title="Stable Diffusion Text-to-Image",
description="Generate images from text using Stable Diffusion 1.5",
)
# Launch the interface
iface.launch()
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