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") headers = {"Authorization": f"Bearer {API_TOKEN}"} timeout = 100 models_list = ["Реалистичность", "Аниме", "Disney"] def query(prompt, model, pose, vid, is_negative="[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry, text, fuzziness", steps=45, cfg_scale=8, sampler="DPM++ 2M Karras", seed=-1, strength=0.7): if prompt == "" or prompt == None: return None API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN"), os.getenv("HF_READ_TOKEN_2"), os.getenv("HF_READ_TOKEN_3"), os.getenv("HF_READ_TOKEN_4"), os.getenv("HF_READ_TOKEN_5")]) # it is free headers = {"Authorization": f"Bearer {API_TOKEN}"} key = random.randint(0, 999) prompt = f"The {prompt} in a {pose} pose. View from {vid} | porn ultra detail, ultra elaboration, ultra quality, perfect." print(f'\033[1mГенерация {key}:\033[0m {prompt}') if model == 'Реалистичность': API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" prompt = f"Ultra realistic porn. {prompt}" if model == 'Playground 2': API_URL = "https://api-inference.huggingface.co/models/playgroundai/playground-v2-1024px-aesthetic" if model == 'Openjourney 4': API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney-v4" if model == 'AbsoluteReality 1.8.1': API_URL = "https://api-inference.huggingface.co/models/digiplay/AbsoluteReality_v1.8.1" if model == 'Lyriel 1.6': API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/lyrielv16" if model == 'Animagine XL 2.0': API_URL = "https://api-inference.huggingface.co/models/Linaqruf/animagine-xl-2.0" prompt = f"Anime porn. {prompt}" if model == 'Counterfeit 2.5': API_URL = "https://api-inference.huggingface.co/models/gsdf/Counterfeit-V2.5" if model == 'Realistic Vision 5.1': API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-v51" if model == 'Incursios 1.6': API_URL = "https://api-inference.huggingface.co/models/digiplay/incursiosMemeDiffusion_v1.6" if model == 'Anime Detailer XL': API_URL = "https://api-inference.huggingface.co/models/Linaqruf/anime-detailer-xl-lora" prompt = f"Anime porn. {prompt}" if model == 'epiCRealism': API_URL = "https://api-inference.huggingface.co/models/emilianJR/epiCRealism" if model == 'PixelArt XL': API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl" if model == 'NewReality XL': API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/newrealityxl-global-nsfw" if model == 'Anything 5.0': API_URL = "https://api-inference.huggingface.co/models/hogiahien/anything-v5-edited" if model == 'Vector Art XL': API_URL = "https://api-inference.huggingface.co/models/DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora" if model == 'Disney': API_URL = "https://api-inference.huggingface.co/models/goofyai/disney_style_xl" prompt = f"Disney style porn. {prompt}" if model == 'Аниме': API_URL = "https://api-inference.huggingface.co/models/digiplay/CleanLinearMix_nsfw" prompt = f"Anime porn. {prompt}" if model == 'OrangeMixs': API_URL = "https://api-inference.huggingface.co/models/WarriorMama777/OrangeMixs" payload = { "inputs": prompt, "is_negative": is_negative, "steps": steps, "cfg_scale": cfg_scale, "seed": seed if seed != -1 else random.randint(1, 1000000000), "strength": strength } response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout) if response.status_code != 200: print(f"Ошибка: Не удалось получить изображение. Статус ответа: {response.status_code}") print(f"Содержимое ответа: {response.text}") return None try: image_bytes = response.content image = Image.open(io.BytesIO(image_bytes)) print(f'\033[1mГенерация {key} завершена!\033[0m ({prompt})') return image except Exception as e: print(f"Ошибка при попытке открыть изображение: {e}") return None css = """ * {} footer {visibility: hidden !important;} """ with gr.Blocks(css=css) as dalle: gr.Markdown("## 🔞 Strictly 18+ 🔞") gr.Markdown("This is a BETA") with gr.Tab("Базовые настройки"): with gr.Row(): with gr.Column(elem_id="prompt-container"): with gr.Row(): image = gr.Dropdown(label="На фото", value="Naked girl", choices=["Naked girl", "Sex", "Blow job"]) with gr.Row(): model = gr.Radio(label="Стиль", value="Реалистичность", choices=models_list) with gr.Row(): pose = gr.Dropdown(label="Поза", value="Cancer", choices=["Cancer", "Lying down", "on my knees", "sitting"]) with gr.Row(): vid = gr.Dropdown(label="Вид", value="Random", choices=["Back", "Front", "Top", "Bottom", "Random"]) 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, text, fuzziness", lines=3, elem_id="negative-prompt-text-input") with gr.Row(): steps = gr.Slider(label="Sampling steps", value=35, minimum=1, maximum=100, step=1) with gr.Row(): cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1) with gr.Row(): method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"]) with gr.Row(): strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001) with gr.Row(): seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1) with gr.Row(): text_button = gr.Button("Start testing!", variant='primary', elem_id="gen-button") with gr.Row(): image_output = gr.Image(type="pil", label="Изображение", elem_id="gallery") text_button.click(query, inputs=[image, model, pose, vid, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output) dalle.launch(show_api=False, share=False)