Image_Gen / app.py
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import gradio as gr
from diffusers import StableDiffusionPipeline
import torch
# Load the Stable Diffusion model from Hugging Face's diffusers library
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4-original", torch_dtype=torch.float16)
pipe.to("cuda")
def generate_image(prompt):
# Generate the image based on the text prompt
image = pipe(prompt).images[0]
return image
# Create Gradio interface
interface = gr.Interface(fn=generate_image,
inputs="text",
outputs="image",
title="Text to Image Generator",
description="Generate images from text using Stable Diffusion.")
interface.launch()