app.py

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

def generate_txt2img(prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7, seed=None):
    API_URL = "/static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2FUnfilteredAI%2FNSFW-GEN-ANIME%26quot%3B%3C%2Fspan%3E%3C!-- HTML_TAG_END -->
    API_TOKEN = os.getenv("HF_READ_TOKEN")
    headers = {"Authorization": f"Bearer {API_TOKEN}"}

    base_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)
    }

    if image_style == "Cinematic":
        base_payload["inputs"] += ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko"
        base_payload["is_negative"] += ", abstract, cartoon, stylized"
    elif image_style == "Digital Art":
        base_payload["inputs"] += ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star"
        base_payload["is_negative"] += ", sharp , modern , bright"
    elif image_style == "Portrait":
        base_payload["inputs"] += ", 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)"

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

css = """
/* General Container Styles */
.gradio-container {
    font-family: 'IBM Plex Sans', sans-serif;
    max-width: 730px !important;
    margin: auto;
    padding-top: 1.5rem;
    text-align: center;
}

/* Button Styles */
.gr-button {
    color: white;
    background: #007bff;
    white-space: nowrap;
    border: none;
    padding: 10px 20px;
    border-radius: 8px;
    cursor: pointer;
    transition: background-color 0.3s, color 0.3s;
}

.gr-button:hover {
    background-color: #0056b3;
}

/* Share Button Styles */
#share-btn-container {
    padding: 0.5rem !important;
    background-color: #007bff;
    justify-content: center;
    align-items: center;
    border-radius: 9999px !important;
    max-width: 13rem;
    margin: 0 auto;
    transition: background-color 0.3s;
}

#share-btn-container:hover {
    background-color: #0056b3;
}

#share-btn {
    all: initial;
    color: #ffffff;
    font-weight: 600;
    cursor: pointer;
    font-family: 'IBM Plex Sans', sans-serif;
    margin: 0.5rem !important;
    padding: 0.5rem !important;
}

/* Other Styles */
#gallery {
    min-height: 22rem;
    margin: auto;
    border-bottom-right-radius: 0.5rem !important;
    border-bottom-left-radius: 0.5rem !important;
}

.image-container {
    max-width: 100%;
    margin: auto;
    padding: 20px;
    border: 1px solid #ccc;
    border-radius: 10px;
    overflow: hidden;
    max-height: 22rem;
}

.image-container img {
    max-width: 100%;
    height: auto;
    max-height: 100%;
    border-radius: 10px;
    box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2);
}
"""

with gr.Blocks(css=css) as demo:
    with gr.Row():
        with gr.Column():
            gr.Markdown("<h1>NSFW-GEN-ANIME</h1>")
            text_prompt = gr.Textbox(label="Enter Prompt", placeholder="Example: a cute dog", lines=2)
            generate_button = gr.Button("Generate Image", variant='primary')

        with gr.Column():
            gr.Markdown("<h4>Advanced Settings</h4>")
            with gr.Accordion("Advanced Customizations", open=False):
                negative_prompt = gr.Textbox(label="Negative Prompt (Optional)", placeholder="Example: blurry, unfocused", lines=2)
                image_style = gr.Dropdown(label="Select Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style")

    with gr.Row():
        image_output = gr.Image(type="pil", label="Output Image")

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

    demo.launch()