app.py

import gradio as gr
import requests
import io
import random
import os
from PIL import Image

API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
headers = {"Authorization": f"Bearer {API_TOKEN}"}

def select_model(model_name):
 models_list = [
 "openskyml/dalle-3-xl",
 "Linaqruf/animagine-xl-2.0",
 "Lykon/dreamshaper-7",
 "Linaqruf/animagine-xl",
 "runwayml/stable-diffusion-v1-5",
 "stabilityai/stable-diffusion-xl-base-1.0",
 "prompthero/openjourney-v4",
 "nerijs/pixel-art-xl",
 "Linaqruf/anything-v3.0"
 ]

def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None):
 payload = {
 "inputs": prompt,
 "is_negative": is_negative,
 "steps": steps,
 "cfg_scale": cfg_scale,
 "seed": seed if seed is not None else random.randint(-1, 2147483647)
 }

 image_bytes = requests.post(API_URL, headers=headers, json=payload).content
 image = Image.open(io.BytesIO(image_bytes))
 return image


with gr.Blocks(theme="soft") as playground:
 gr.HTML(
 """
 <div style="text-align: center; margin: 0 auto;">
 <div
 style="
 display: inline-flex;
 align-items: center;
 gap: 0.8rem;
 font-size: 1.75rem;
 "
 >
 <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px">
 Play with SD Models
 </h1> 
 </div>
 <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;">
 Create your AI art with Stable Diffusion models!
 </p>
 </div>
 """
 )

 with gr.Row():
 image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
 with gr.Column(elem_id="prompt-container"):
 text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input")
 text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")

 with gr.Accordion("Advanced settings", open=False):
 negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input")

 text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output)

playground.launch(show_api=False)