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import gradio as gr |
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import requests |
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import io |
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import random |
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import os |
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from PIL import Image |
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from deep_translator import GoogleTranslator |
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from langdetect import detect |
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API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" |
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API_TOKEN = os.getenv("HF_READ_TOKEN") |
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headers = {"Authorization": f"Bearer {API_TOKEN}"} |
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def query(prompt, model, is_negative=False, steps=20, cfg_scale=7, seed=-1): |
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language = detect(prompt) |
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if language == 'ru': |
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prompt = GoogleTranslator(source='ru', target='en').translate(prompt) |
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print(prompt) |
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if model == 'DALL-E 3 XL': |
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API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" |
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payload = { |
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"inputs": prompt, |
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"is_negative": is_negative, |
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"steps": steps, |
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"cfg_scale": cfg_scale, |
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"seed": seed |
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} |
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image_bytes = requests.post(API_URL, headers=headers, json=payload).content |
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image = Image.open(io.BytesIO(image_bytes)) |
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return image |
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css = """ |
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footer {visibility: hidden !important;} |
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""" |
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with gr.Blocks(css=css) as dalle: |
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with gr.Tab("Базовые настройки"): |
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with gr.Row(): |
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with gr.Column(elem_id="prompt-container"): |
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text_prompt = gr.Textbox(label="Prompt", placeholder="Описание изображения", lines=1, elem_id="prompt-text-input") |
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model = gr.Radio(label="Модель", value="DALL-E 3 XL", choices=["DALL-E 3 XL"]) |
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with gr.Tab("Расширенные настройки"): |
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negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="Чего не должно быть на изображении", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") |
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steps = gr.Slider(label="Sampling Steps", value=20, minimum=1, maximum=30, step=1) |
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cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1) |
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seed = gr.Slider(label="Сид", value=-1, minimum=-1, maximum=2147483647, step=1) |
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with gr.Row(): |
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text_button = gr.Button("Генерация", variant='primary', elem_id="gen-button") |
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with gr.Row(): |
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image_output = gr.Image(type="pil", label="Изображение", elem_id="gallery") |
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text_button.click(query, inputs=[text_prompt, model, negative_prompt, steps, cfg, seed], outputs=image_output) |
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dalle.launch(show_api=False) |