Text2ImgPort / app.py
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import gradio as gr
import requests
import io
from PIL import Image
title = "Fine Tuned SD Model - Authoral stylization"
description = "Generate images trained in an authoral illustration model."
article = "<p style='text-align: center'><a href='https://news.machinelearning.sg/posts/beautiful_profile_pics_remove_background_image_with_deeplabv3/'>Blog</a> | <a href='https://github.com/eugenesiow/practical-ml'>Github Repo</a></p>"
def generate_image(prompt):
model = pipeline("image-to-image", model="Cacau/heart-of-painting")
return model(prompt)[0]
inputs = gr.inputs.Textbox(label="Prompt", placeholder="Your prompt here...")
output = gr.outputs.Image(label="Generated Image")
gr.Interface(generate_image, inputs, output, title=title, description=description, article=article).launch()