app.py

import os
import gradio as gr

API_KEY=os.environ.get('HUGGING_FACE_HUB_TOKEN', None)

article = """---
This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator)."""

gr.Interface.load(
    name="models/Duskfallcrew/flowers-2-1-768",
    title="""Flowers 2 1 768""",
    description="""Demo for <a href="https://huggingface.co/Duskfallcrew/flowers-2-1-768">Flowers 2 1 768</a> Stable Diffusion model.  </br> <a href="https://civitai.com/user/duskfallcrew">Check out our Models on CivitAI</a>  </br> We stream a lot of our testing on twitch: <a href="https://www.twitch.tv/duskfallcrew ">Duskfall @ TWITCH</a>  </br> 

 <a href="https://ko-fi.com/DUSKFALLcrew"> any chance you can spare a coffee or three?</a>  </br> 

If you want custom LoRA OR MODEL trained an option will become available on the  <a href="https://www.patreon.com/earthndusk">Patreon </a>  </br>  Styling Token: fldsky1""",
    article=article,
    api_key=API_KEY,
    ).queue(concurrency_count=20).launch()