#!/bin/env python import io import json import base64 import argparse import requests from PIL import Image options = { "negative_prompt": "", "steps": 20, "batch_size": 1, "n_iter": 1, "seed": -1, "sampler_name": "UniPC", "cfg_scale": 6, "width": 512, "height": 512, "save_images": False, "send_images": True, } styles = [] def pil_to_b64(img: Image, size: int, quality: int): img = img.convert('RGB') img = img.resize((size, size)) buffer = io.BytesIO() img.save(buffer, format="JPEG", quality=quality) b64encoded = base64.b64encode(buffer.getvalue()).decode("utf-8") return f'data:image/jpeg;base64,{b64encoded}' def post(endpoint: str, dct: dict = None): req = requests.post(endpoint, json = dct, timeout=300, verify=False) if req.status_code != 200: return { 'error': req.status_code, 'reason': req.reason, 'url': req.url } else: return req.json() if __name__ == '__main__': parser = argparse.ArgumentParser(description = 'gen-styles.py') parser.add_argument('--input', type=str, required=True, help="input text file with one line per prompt") parser.add_argument('--output', type=str, required=True, help="output json file") parser.add_argument('--nopreviews', default=False, action='store_true', help = 'generate previews') parser.add_argument('--prompt', type=str, required=False, default='girl walking in a city', help="applied prompt when generating previews") parser.add_argument('--size', type=int, default=128, help="image size for previews") parser.add_argument('--quality', type=int, default=35, help="image quality for previews") parser.add_argument('--url', type=str, required=False, default='http://127.0.0.1:7860', help="sd.next server url") args = parser.parse_args() with open(args.input, encoding='utf-8') as f: lines = f.readlines() for line in lines: line = line.strip().replace('\n', '') if len(line) == 0: continue print(f'processing: {line}') if not args.nopreviews: options['prompt'] = f'{line} {args.prompt}' data = post(f'{args.url}/sdapi/v1/txt2img', options) if 'error' in data: print(f'error: {data}') continue b64str = data['images'][0].split(',',1)[0] image = Image.open(io.BytesIO(base64.b64decode(b64str))) else: image = None styles.append({ 'name': line, 'prompt': line + ' {prompt}', 'negative': '', 'extra': '', 'preview': pil_to_b64(image, args.size, args.quality) if image is not None else '', }) with open(args.output, 'w', encoding='utf-8') as outfile: json.dump(styles, outfile, indent=2)