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Animagine-XL-3.1c
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Animagine-XL-3.1c
File size: 3,475 Bytes 
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import gradio as gr
import requests
import io
import random
import os
from PIL import Image

API_URL = "https://api-inference.huggingface.co/models/cagliostrolab/animagine-xl-3.1"

API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free 
headers = {"Authorization": f"Bearer {API_TOKEN}"}

def query(prompt, is_negative=False, width, height, steps=37, cfg_scale=8, 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),
        "width": width,
        "height": height
        }

    image_bytes = requests.post(API_URL, headers=headers, json=payload).content
    image = Image.open(io.BytesIO(image_bytes))
    return image
css = """
  .footer {
    display: none;
  }
"""

with gr.Blocks(css=css) as Animagine:
    with gr.Row():
        with gr.Column():
            with gr.Tab("Базовые настройки"):
                with gr.Row():
                with gr.Column(elem_id="prompt-container"):
                    text_prompt = gr.Textbox(label="Prompt", placeholder="Описание изображения", lines=1, elem_id="prompt-text-input")
                    

            with gr.Tab("Расширенные настройки"):
                with gr.Row():
                    negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="Чего не должно быть на изображении", value="[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry", lines=1, elem_id="negative-prompt-text-input")
                with gr.Row():
                    steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=70, step=1)
                with gr.Row():
                    cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
                with gr.Row():
                    seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
                
            with gr.Tab("Beta"):
                with gr.Row():
                    width = gr.Slider(label="Ширина", minimum=15, maximum=2000, value=1024, step=1)
                    height = gr.Slider(label="Высота", minimum=15, maximum=2000, value=1024, step=1)

            with gr.Tab("Информация"):
                with gr.Row():
                    gr.Textbox(label="Шаблон prompt", value="{prompt} | ultra detail, ultra elaboration, ultra quality, perfect.")
                with gr.Row():
                    gr.HTML("""<button class="lg secondary  svelte-cmf5ev" style="width: 100%;" onclick="window.open('http://ai-hub.rf.gd', '_blank');">AI-HUB</button>""")
                    gr.HTML("""<button class="lg secondary  svelte-cmf5ev" style="width: 100%;" onclick="window.open('http://yufi.rf.gd', '_blank');">YUFI</button>""")


            with gr.Row():
                text_button = gr.Button("Генерация", variant='primary', elem_id="gen-button")
        with gr.Column():
            with gr.Row():
                image_output = gr.Image(type="pil", label="Изображение", elem_id="gallery")
    
                    
    text_button.click(query, inputs=[text_prompt, negative_prompt, width, height, steps, cfg, seed], outputs=image_output)
Animagine.queue(max_size=200).launch(show_api=False)