#!/usr/bin/env python import io import os import time import base64 import logging import argparse import requests import urllib3 from PIL import Image sd_url = os.environ.get('SDAPI_URL', "http://127.0.0.1:7860") sd_username = os.environ.get('SDAPI_USR', None) sd_password = os.environ.get('SDAPI_PWD', None) logging.basicConfig(level = logging.INFO, format = '%(asctime)s %(levelname)s: %(message)s') log = logging.getLogger(__name__) urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) def auth(): if sd_username is not None and sd_password is not None: return requests.auth.HTTPBasicAuth(sd_username, sd_password) return None def get(endpoint: str, dct: dict = None): req = requests.get(f'{sd_url}{endpoint}', json=dct, timeout=300, verify=False, auth=auth()) if req.status_code != 200: return { 'error': req.status_code, 'reason': req.reason, 'url': req.url } else: return req.json() def post(endpoint: str, dct: dict = None): req = requests.post(f'{sd_url}{endpoint}', json = dct, timeout=300, verify=False, auth=auth()) if req.status_code != 200: return { 'error': req.status_code, 'reason': req.reason, 'url': req.url } else: return req.json() def info(args): # pylint: disable=redefined-outer-name t0 = time.time() with open(args.input, 'rb') as f: content = f.read() models = get('/sdapi/v1/preprocessors') log.info(f'models: {models}') req = { 'model': args.model or 'Canny', 'image': base64.b64encode(content).decode(), 'config': { 'low_threshold': 50 }, } data = post('/sdapi/v1/preprocess', req) t1 = time.time() if 'image' in data: b64 = data['image'].split(',',1)[0] image = Image.open(io.BytesIO(base64.b64decode(b64))) log.info(f'received image: size={image.size} time={t1-t0:.2f}') if args.output: image.save(args.output) log.info(f'saved image: fn={args.output}') else: log.info(f'received: {data} time={t1-t0:.2f}') if __name__ == "__main__": parser = argparse.ArgumentParser(description = 'simple-info') parser.add_argument('--input', required=True, help='input image') parser.add_argument('--model', required=True, help='preprocessing model') parser.add_argument('--output', required=False, help='output image') args = parser.parse_args() log.info(f'info: {args}') info(args)