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/CompVis/stable-diffusion-v1-4"
API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2"
API_TOKEN = os.getenv("HF_READ_TOKEN")
headers = {"Authorization": f"Bearer {API_TOKEN}"}


def query(prompt, is_negative=False, image_style="None style", steps=16, cfg_scale=7, seed=None, num_images=4):
    images = []
    for _ in range(num_images):
        if image_style == "None style":
            payload = {
                "inputs": prompt + ", 8k",
                "is_negative": is_negative,
                "steps": steps,
                "cfg_scale": cfg_scale,
                "seed": seed if seed is not None else random.randint(-1, 2147483647)
            }
        elif image_style == "Cinematic":
            payload = {
                "inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko",
                "is_negative": is_negative + ", abstract, cartoon, stylized",
                "steps": steps,
                "cfg_scale": cfg_scale,
                "seed": seed if seed is not None else random.randint(-1, 2147483647)
            }
        elif image_style == "Digital Art":
            payload = {
                "inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star",
                "is_negative": is_negative + ", sharp , modern , bright",
                "steps": steps,
                "cfg_scale": cfg_scale,
                "seed": seed if seed is not None else random.randint(-1, 2147483647)
            }
        elif image_style == "Portrait":
            payload = {
                "inputs": prompt + ", soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)",
                "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))
        images.append(image)
    return images


css = """
        .gradio-container {
            font-family: 'IBM Plex Sans', sans-serif;
        }
        .gr-button {
            color: white;
            border-color: black;
            background: black;
        }
        input[type='range'] {
            accent-color: black;
        }
        .dark input[type='range'] {
            accent-color: #dfdfdf;
        }
        .container {
            max-width: 730px;
            margin: auto;
            padding-top: 1.5rem;
        }
        #gallery {
            min-height: 22rem;
            margin-bottom: 15px;
            margin-left: auto;
            margin-right: auto;
            border-bottom-right-radius: .5rem !important;
            border-bottom-left-radius: .5rem !important;
        }
        #gallery>div>.h-full {
            min-height: 20rem;
        }
        .details:hover {
            text-decoration: underline;
        }
        .gr-button {
            white-space: nowrap;
        }
        .gr-button:focus {
            border-color: rgb(147 197 253 / var(--tw-border-opacity));
            outline: none;
            box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
            --tw-border-opacity: 1;
            --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
            --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
            --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
            --tw-ring-opacity: .5;
        }
        #advanced-btn {
            font-size: .7rem !important;
            line-height: 19px;
            margin-top: 12px;
            margin-bottom: 12px;
            padding: 2px 8px;
            border-radius: 14px !important;
        }
        #advanced-options {
            display: none;
            margin-bottom: 20px;
        }
        .footer {
            margin-bottom: 45px;
            margin-top: 35px;
            text-align: center;
            border-bottom: 1px solid #e5e5e5;
        }
        .footer>p {
            font-size: .8rem;
            display: inline-block;
            padding: 0 10px;
            transform: translateY(10px);
            background: white;
        }
        .dark .footer {
            border-color: #303030;
        }
        .dark .footer>p {
            background: #0b0f19;
        }
        .acknowledgments h4{
            margin: 1.25em 0 .25em 0;
            font-weight: bold;
            font-size: 115%;
        }
        .animate-spin {
            animation: spin 1s linear infinite;
        }
        @keyframes spin {
            from {
                transform: rotate(0deg);
            }
            to {
                transform: rotate(360deg);
            }
        }
        #share-btn-container {
            display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
            margin-top: 10px;
            margin-left: auto;
        }
        #share-btn {
            all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
        }
        #share-btn * {
            all: unset;
        }
        #share-btn-container div:nth-child(-n+2){
            width: auto !important;
            min-height: 0px !important;
        }
        #share-btn-container .wrap {
            display: none !important;
        }

        .gr-form{
            flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
        }
        #prompt-container{
            gap: 0;
        }
        #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
        #component-16{border-top-width: 1px!important;margin-top: 1em}
        .image_duplication{position: absolute; width: 100px; left: 50px}
"""

with gr.Blocks(css=css) as demo:
    favicon = '<img src="" width="48px" style="display: inline">'
    gr.Markdown(
        f"""<h1><center>{favicon} Stable Diffusion V2.1</center></h1>
            """
    )
    with gr.Group():
        with gr.Box():
            with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
                with gr.Column():
                    text_prompt = gr.Textbox(show_label=False, placeholder="Votre inspiration", max_lines=1, elem_id="prompt-text-input").style(border=(True, False, True, True), rounded=(True, False, False, True), container=False)
                    negative_prompt = gr.Textbox(show_label=False, placeholder="Je ne veux pas...", max_lines=1, elem_id="negative-prompt-text-input").style(border=(True, False, True, True), rounded=(True, False, False, True), container=False)
                text_button = gr.Button("Generate").style(margin=False, rounded=(False, True, True, False), full_width=False)

        gallery_output = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2], height="auto")
        with gr.Accordion("Advanced settings", open=False):
            image_style = gr.Radio(label="Style", choices=["Rien", "Cinéma", "Artistique", "Portrait"], value="None style")

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

demo.launch(show_api=False)