from flask import Flask, request, jsonify, send_file, render_template_string
import requests
import io
import os
import random
from PIL import Image
from deep_translator import GoogleTranslator
app = Flask(__name__)
API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev"
API_TOKEN = os.getenv("HF_READ_TOKEN")
headers = {"Authorization": f"Bearer {API_TOKEN}"}
timeout = 100
# Function to query the API and return the generated image
def query(prompt, negative_prompt="", steps=35, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=1024, height=1024):
if not prompt:
return None, "Prompt is required"
key = random.randint(0, 999)
# Translate the prompt from Russian to English if necessary
prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
print(f'Generation {key} translation: {prompt}')
# Add some extra flair to the prompt
prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
print(f'Generation {key}: {prompt}')
payload = {
"inputs": prompt,
"is_negative": False,
"steps": steps,
"cfg_scale": cfg_scale,
"seed": seed if seed != -1 else random.randint(1, 1000000000),
"strength": strength,
"parameters": {
"width": width,
"height": height
}
}
# Send the request to the API
try:
response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
if response.status_code != 200:
return None, f"Error: Failed to get image. Status code: {response.status_code}, Details: {response.text}"
image_bytes = response.content
image = Image.open(io.BytesIO(image_bytes))
return image, None
except Exception as e:
return None, f"Error when trying to open the image: {e}"
# HTML template for the index page
index_html = """
FLUX.1-Dev Image Generator
FLUX.1-Dev Image Generator
"""
@app.route('/')
def index():
return render_template_string(index_html)
@app.route('/generate', methods=['GET'])
def generate_image():
# Retrieve query parameters
prompt = request.args.get("prompt", "")
negative_prompt = request.args.get("negative_prompt", "")
steps = int(request.args.get("steps", 35))
cfg_scale = float(request.args.get("cfgs", 7))
sampler = request.args.get("sampler", "DPM++ 2M Karras")
seed = int(request.args.get("seed", -1))
strength = float(request.args.get("strength", 0.7))
width = int(request.args.get("width", 1024))
height = int(request.args.get("height", 1024))
# Call the query function to generate the image
image, error = query(prompt, negative_prompt, steps, cfg_scale, sampler, seed, strength, width, height)
if error:
return jsonify({"error": error}), 500
# Save the image to a buffer
img_io = io.BytesIO()
image.save(img_io, 'PNG')
img_io.seek(0)
# Return the image
return send_file(img_io, mimetype='image/png')
if __name__ == '__main__':
app.run(host='0.0.0.0', port=7860)