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82 lines
2.5 KiB
82 lines
2.5 KiB
import os
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import random
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from Util import ConfigUtil
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from Util.SDUtil import *
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from Util.CommonUtil import *
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def C16(prompt_data, img, source_code, target_code):
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# 图生图
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prompt_data["22"]["inputs"]["image"] = img
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# 替换关键词
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for i in range(len(source_code)):
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s = source_code[i]
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t = target_code[i]
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prompt_data["331"]["inputs"]["text"] = prompt_data["331"]["inputs"]["text"].replace(s, t)
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# 过滤器,哪些返回节点中获取到的图片是有用的
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myfilter = []
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# 遍历prompt_data中的所有节点
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for key, value in prompt_data.items():
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if 'inputs' in value:
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if 'filename_prefix' in value['inputs']:
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if value['inputs']['filename_prefix'] == 'ComfyUI':
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myfilter.append(key)
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return prompt_data, myfilter
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def runComfyUI(json_file, model_id, task_type_code, input_image, source_code, target_code):
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# 配置文件
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config = ConfigUtil.getConfig()
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server_address = config.get('comfyui', 'server_address')
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# 创建目标目录
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output_path = "Out/Images/" + task_type_code + "/" + str(model_id) + "/"
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if not os.path.exists(output_path):
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os.makedirs(output_path)
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# 生成一个唯一的客户端ID
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client_id = str(uuid.uuid4())
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# 上传图片
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with open(input_image, "rb") as f:
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img = upload_file(server_address, f, "", True)
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with open(json_file, 'r', encoding="utf-8") as fi:
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prompt_data = json.load(fi)
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# 分支判断
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prompt_data, myfilter = C16(prompt_data, img, source_code, target_code)
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# 生成
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generate_clip(server_address, prompt_data, client_id, output_path, myfilter)
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if __name__ == '__main__':
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# 打开配置文件
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config = ConfigUtil.getConfig()
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# 不使用代理
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set_http_proxy("")
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directory = r'D:\backup\三级读书营照片'
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for root, dirs, files in os.walk(directory):
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for name in files:
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# print(os.path.join(root, name))
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fi = os.path.join(root, name)
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if '男_' in fi:
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replace_content = '1 boy'
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else:
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replace_content = '1 girl'
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runComfyUI(json_file='../JSON/16/16.json',
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model_id=16,
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task_type_code='User',
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input_image=fi,
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source_code=['1 girl'],
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target_code=[replace_content]
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)
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