代码：
import base64
import datetime
import json
import osimport requestsdef submit_post(url: str, data: dict):"""Submit a POST request to the given URL with the given data.:param url: url:param data: data:return: response"""return requests.post(url, data=json.dumps(data))def save_encoded_image(b64_image: str, output_path: str):"""Save the given image to the given output path.:param b64_image: base64 encoded image:param output_path: output path:return: None"""# 判断当前目录下是否存在 output 文件夹，如果不存在则创建if not os.path.exists("output"):os.mkdir("output")timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")output_path = f"{output_path}_{timestamp}" + ".png"# 将文件放入当前目录下的 output 文件夹中output_path = f"output/{output_path}"with open(output_path, "wb") as f:f.write(base64.b64decode(b64_image))def save_json_file(data: dict, output_path: str):"""Save the given data to the given output path.:param data: data:param output_path: output path:return: None"""# 忽略 data 中的 images 字段data.pop('images')# 将 data 中的 info 字段转为 json 字符串，info 当前数据需要转义data['info'] = json.loads(data['info'])# 输出 data.info.infotextsinfo_texts = data['info']['infotexts']for info_text in info_texts:print(info_text)# 判断当前目录下是否存在 output 文件夹，如果不存在则创建if not os.path.exists("output"):os.mkdir("output")timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")output_path = f"{output_path}_{timestamp}" + ".json"# 将文件放入当前目录下的 output 文件夹中output_path = f"output/{output_path}"with open(output_path, "w") as f:json.dump(data, f, indent=4, ensure_ascii=False)if __name__ == '__main__':"""Example usage: python3 txt2img.py"""txt2img_url = "http://192.168.2.82:7860/sdapi/v1/txt2img" # 服务器地址prompt = input("请输入提示词：")negative_prompt = input("请输入反面提示词：")data = {'prompt': prompt, 'negative_prompt': negative_prompt}# 将 data.prompt 中的文本，删除文件名非法字符，已下划线分隔，作为文件名output_path = data['prompt'].replace(" ", "_").replace("/", "_").replace("\\", "_").replace(":", "_").replace("\"","_").replace("<", "_").replace(">", "_").replace("|", "_")response = submit_post(txt2img_url, data)save_encoded_image(response.json()['images'][0], output_path)save_json_file(response.json(), output_path)
输出：
>> python txt2img.py
请输入提示词：masterpiece, best quality, 1boy, orc, male focus, mecha, robot, science fiction, solo, black background <lora:nijiMecha:1> <lora:wzh-000022:1>
请输入反面提示词：(worst quality, low quality:1.4), greyscale, monochrome, watermark, signaturemasterpiece, best quality, 1boy, orc, male focus, mecha, robot, science fiction, solo, black background <lora:nijiMecha:1> <lora:wzh-000022:1>
Negative prompt: (worst quality, low quality:1.4), greyscale, monochrome, watermark, signature
Steps: 50, Sampler: Euler, CFG scale: 7.0, Seed: 274772779, Size: 512x512, Model hash: ce67b54cf2, Model: oukaNiji5_v10, Seed resize from: -1x-1, Denoising strength: 0, Clip skip: 2说明：
- 运行后，图片以及 JSON 将会输出到当前目录下
output中；
TIP：
- 当然前提是你已经部署好 Stable Diffusion API 服务；
- 并且安装好跟我一样的模型以及一些相关的
LoRA；
print('HELLO WORLD') # http://www.skyner.cn
