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# system_stats
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import json
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import urllib.parse
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import urllib.request
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import urllib.parse
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import urllib.request
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from Util import ConfigUtil
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from Util.ComfyUIUtil import *
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from Util.CommonUtil import *
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def queue_prompt(server_address, client_id, prompt):
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p = {"prompt": prompt, "client_id": client_id}
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data = json.dumps(p).encode('utf-8')
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req = urllib.request.Request("http://{}/prompt".format(server_address), data=data)
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try:
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urllib.request.urlopen(req)
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except Exception as err:
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print(err)
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return json.loads(urllib.request.urlopen(req).read())
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# GET /system_stats
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# 系统统计信息接口
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# 打开配置文件
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config = ConfigUtil.getConfig()
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server_address = config.get('comfyui', 'server_address')
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req = urllib.request.Request("http://{}/system_stats".format(server_address))
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res = json.loads(urllib.request.urlopen(req).read())
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vram_total = res['devices'][0]['vram_total']
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vram_free = res['devices'][0]['vram_free']
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used_vram = 1.0 * (vram_total - vram_free) / vram_total * 100
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print(str(used_vram) + "%")
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# vram_total # 显存容量：25756696576 即24GB
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# vram_free # 显存剩余：25756696576
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# torch_vram_total 16005464064
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# torch_vram_free 331041996
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# 打开文件并读取内容
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file_path = r'../JSON/clearGPU.json'
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with open(file_path, 'r', encoding='utf-8') as file:
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content = file.read()
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# 如何清空Comfyui的gpu缓存
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# https://wailikeji.blog.csdn.net/article/details/140035515
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#queue_prompt(server_address, "cleanGpuRam", content)
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