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import gradio as gr
from huggingface_hub import hf_hub_download
from safetensors.torch import load_file
from PIL import Image
from model import *
def generate_image(prompt):
return prompt_to_img(prompt)[0]
# Gradio Interface
description = """
This demo utilizes a specialized variant of the Stable Diffusion model designed for multilingual text-to-image synthesis. In response to the observed underperformance of existing models on languages beyond English, this project introduces the Multilingual Stable Diffusion, providing a more inclusive solution for diverse linguistic contexts.
Link to Github repo: https://github.com/NajlaaNawaii/Multilingual-Stable-Diffusion-Towards-more-Inclusive-Text-To-Image-Synthesis
"""
with gr.Blocks(css="style.css") as demo:
gr.HTML("<h1><center>Multilingual Stable Diffusion 🧨</center></h1>")
gr.Markdown(description)
with gr.Group():
with gr.Row():
prompt = gr.Textbox(label='Enter your prompt', scale=8)
submit = gr.Button(scale=1, variant='primary')
img = gr.Image(label='Generated Image')
prompt.submit(fn=generate_image,
inputs=[prompt],
outputs=img,
)
submit.click(fn=generate_image,
inputs=[prompt],
outputs=img,
)
demo.queue().launch() |