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import gradio as gr
import requests
import os
import io
from PIL import Image
# API ссылка
url = "https://api-inference.huggingface.co/models/stablediffusionapi/realistic-vision-51"
# Функция для отправки запроса
def render(prompt, negative_prompt, output_format, width, height, upscale, api_key):
data = {
"key": api_key,
"model_id": "realistic-vision-51",
"prompt": prompt,
"negative_prompt": negative_prompt,
"width": width,
"height": height,
"samples": "1",
"num_inference_steps": "40",
"safety_checker": "no",
"enhance_prompt": "yes",
"seed": None,
"guidance_scale": 7.5,
"multi_lingual": "no",
"panorama": "no",
"self_attention": "no",
"upscale": "no",
"embeddings": "embeddings_model_id",
"lora": "lora_model_id",
"webhook": None,
"track_id": None,
}
response = requests.post(url, headers=headers, json=data)
if response.status_code == 200:
return response.content
image = Image.open(io.BytesIO(response.content))
else:
return None
# UI
gr.Interface(
render,
inputs=[
gr.Textbox(placeholder="Введите описание изображения"),
gr.Textbox(placeholder="Введите отрицательный образ"),
gr.Dropdown(["png", "jpg", "webp", "gif"]),
gr.Dropdown(["256", "512", "1024", "2048"]),
gr.Dropdown(["256", "512", "1024", "2048"]),
gr.Dropdown(["yes", "no"]),
gr.Textbox(placeholder="API_KEY"),
],
outputs=gr.Image()
).launch()
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