ImgGenerator / app.py
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import gradio as gr
import requests
import io
import random
import os
from PIL import Image
from deep_translator import GoogleTranslator
from langdetect import detect
API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free
headers = {"Authorization": f"Bearer {API_TOKEN}"}
models_list = ["AbsoluteReality 1.8.1", "DALL-E 3 XL", "Playground 2", "Openjourney 4", "Lyriel 1.6", "Animagine XL 2.0", "Counterfeit 2.5", "Realistic Vision 5.1", "Incursios 1.6", "Anime Detailer XL LoRA", "epiCRealism", "PixelArt XL", "NewReality XL", "Anything 5.0", "PixArt XL 2.0", "Waifu 1.4"]
def query(prompt, model, is_negative=False, steps=30, cfg_scale=7, seed=None, sampler="DPM++ 2M Karras"):
language = detect(prompt)
key = random.randint(0, 999)
print(f'\033[1mГенерация {key}:\033[0m {prompt}')
if language == 'ru':
prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
print(f'\033[1mГенерация {key} перевод:\033[0m {prompt}')
if model == 'DALL-E 3 XL':
API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl"
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"
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 LoRA':
API_URL = "https://api-inference.huggingface.co/models/Linaqruf/anime-detailer-xl-lora"
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 == 'PixArt XL 2.0':
API_URL = "https://api-inference.huggingface.co/models/PixArt-alpha/PixArt-XL-2-1024-MS"
if model == 'Waifu 1.4':
API_URL = "https://api-inference.huggingface.co/models/gisohi6975/nsfw-waifu-diffusion"
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)
}
image_bytes = requests.post(API_URL, headers=headers, json=payload).content
image = Image.open(io.BytesIO(image_bytes))
print(f'\033[1mГенерация {key} завершена!\033[0m ({prompt})')
return image
css = """
footer {visibility: hidden !important;}
"""
with gr.Blocks(css=css) as dalle:
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=3, elem_id="prompt-text-input")
model = gr.Radio(label="Модель", value="DALL-E 3 XL", choices=models_list)
with gr.Tab("Расширенные настройки"):
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():
text_button = gr.Button("Генерация", 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=[text_prompt, model, negative_prompt], outputs=image_output)
dalle.launch(show_api=False)