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

list_models = [
    "SD-1.4",
    "SD-1.5",
    "SD-2.1",
    "SDXL-1.0",
    "OpenJourney-V4",
    "Midjourney-mini",
    "Dreamshaper-XL-1.0",
    "Protogen-x5.8",
    "WavyFusion",
    "OpenGen",
    "Deliberate",
    "Pixel-Art-XL",
]

def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7,
                     seed=None):

    if current_model == "SD-1.4":
        API_URL = "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
    elif current_model == "SD-1.5":
        API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
    elif current_model == "SD-2.1":
        API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1"
    elif current_model == "SDXL-1.0":
        API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
    elif current_model == "OpenJourney-V4":
        API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney"
    elif current_model == "Midjourney-mini":
        API_URL = "https://api-inference.huggingface.co/models/openskyml/midjourney-mini"
    elif current_model == "Dreamshaper-XL-1.0":
        API_URL = "https://api-inference.huggingface.co/models/Lykon/dreamshaper-xl-1-0"
    elif current_model == "Protogen-x5.8":
        API_URL = "https://api-inference.huggingface.co/models/darkstorm2150/Protogen_x5.8_Official_Release"
    elif current_model == "WavyFusion":
        API_URL = "https://api-inference.huggingface.co/models/wavymulder/wavyfusion"
    elif current_model == "OpenGen":
        API_URL = "https://api-inference.huggingface.co/models/darkstorm2150/OpenGen"
    elif current_model == "Deliberate":
        API_URL = "https://api-inference.huggingface.co/models/Yntec/Deliberate"
    elif current_model == "Pixel-Art-XL":
        API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"


    API_TOKEN = os.environ.get("HF_READ_TOKEN")
    headers = {"Authorization": f"Bearer {API_TOKEN}"}


    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))
    return image


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;
        }
        .gradio-container {
            max-width: 730px !important;
            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 {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;}
        div#share-btn-container > div {flex-direction: row;background: black;align-items: center}
        #share-btn-container:hover {background-color: #060606}
        #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: 0.5rem !important; padding-bottom: 0.5rem !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}
        #share-btn-container.hidden {display: none!important}
        .gr-form{
            flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
        }
        #prompt-container{
            gap: 0;
        }
        #prompt-container .form{
        border-top-right-radius: 0;
        border-bottom-right-radius: 0;
        }
        #gen-button{
        border-top-left-radius:0;
        border-bottom-left-radius: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}
        .tabitem{border: 0 !important}
"""

with gr.Blocks(css=css) as demo:
    
    favicon = '<img src="https://www.gstatic.com/android/keyboard/emojikitchen/20201001/u1f917/u1f917_u1f31e.png" width="48px" style="display: inline">'
    gr.Markdown(
        f"""<h1><center>{favicon} HuggingDiffusion</center></h1>
            """
    )
    
    with gr.Row(elem_id="prompt-container"):
        current_model = gr.Dropdown(label="Current Model", choices=list_models, value=list_models[1])
        
    with gr.Row(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.Row():
        image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
        
    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")
        image_style = gr.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style", allow_custom_value=False)

    text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)

demo.launch(show_api=False)