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import asyncio
import json
import traceback
from .base import Backend
class AIDRAW(Backend):
def __init__(self, count, payload, **kwargs):
super().__init__(count=count, payload=payload, **kwargs)
self.xl = self.config.liblibai_setting['xl'][self.count]
self.flux = self.config.liblibai_setting['flux'][self.count]
site_name = 'LiblibAI_XL' if self.xl else 'LiblibAI'
self.model = f"{site_name} - {self.config.liblibai_setting['model_name'][self.count]}"
self.model_id = self.config.liblibai_setting['model'][self.count]
self.model_hash = "c7352c5d2f"
self.logger = self.setup_logger('[LiblibAI]')
token = self.config.liblibai[self.count]
self.token = token
self.backend_name = self.config.backend_name_list[4]
self.workload_name = f"{self.backend_name}-{token}"
async def heart_beat(self, id_):
self.logger.info(f"{id_}开始请求")
for i in range(60):
response = await self.http_request(
method="POST",
target_url=f"https://liblib-api.vibrou.com/gateway/sd-api/generate/progress/msg/v3/{id_}",
headers=self.headers,
content=json.dumps({"flag": 0}),
verify=False
)
# 检查请求结果并处理
if response.get('error') == "error":
self.logger.warning(f"Failed to request: {response}")
raise RuntimeError('服务器返回错误')
if response['code'] != 0 or response['data']['statusMsg'] == '执行异常':
raise RuntimeError('服务器返回错误')
images = response['data']['images']
if images is None:
self.logger.info(f"第{i+1}次心跳，未返回结果")
await asyncio.sleep(5)
continue
else:
# await self.set_backend_working_status(available=True)
for i in images:
if 'porn' in i['previewPath']:
self.nsfw_detected = True
self.logger.warning("API侧检测到NSFW图片")
else:
self.logger.img(f"图片url: {i['previewPath']}")
self.img_url.append(i['previewPath'])
self.comment = i['imageInfo']
break
async def update_progress(self):
# 覆写函数
pass
async def check_backend_usability(self):
pass
async def err_formating_to_sd_style(self):
if self.nsfw_detected:
await self.return_build_image()
else:
await self.download_img()
self.format_api_respond()
self.result = self.build_respond
async def posting(self):
if self.xl or self.flux:
if self.xl:
pre_tag, pre_ntag = tuple(self.config.liblibai_setting.get('preference')[self.count]['pretags']['xl'])
elif self.flux:
pre_tag, pre_ntag = tuple(self.config.liblibai_setting.get('preference')[self.count]['pretags']['flux'])
self.tags = pre_tag + self.tags
self.ntags = pre_ntag + self.ntags
if self.enable_hr:
self.width = int(self.width * self.hr_scale)
self.height = int(self.height * self.hr_scale)
self.enable_hr = False
elif self.width * self.height < 1048576:
self.width = int(self.width * 1.5)
self.height = int(self.height * 1.5)
self.steps = self.config.liblibai_setting.get('preference')[self.count].get('steps', 12)
if self.flux:
input_ = {
"checkpointId": 2295774,
"generateType": 17,
"frontCustomerReq": {
"windowId": "",
"tabType": "txt2img",
"conAndSegAndGen": "gen"
},
"adetailerEnable": 0,
"text2imgV3": {
"clipSkip": 2,
"checkPointName": 2295774,
"prompt": self.tags,
"negPrompt": self.ntags,
"seed": self.seed,
"randnSource": 0,
"samplingMethod": 31,
"imgCount": self.batch_size,
"samplingStep": self.steps,
"cfgScale": self.scale,
"width": self.width,
"height": self.height
},
"taskQueuePriority": 1
}
else:
input_ = {
"checkpointId": self.model_id,
"generateType": 1,
"frontCustomerReq": {
# "frontId": "f46f8e35-5728-4ded-b163-832c3b85009d",
"windowId": "",
"tabType": "txt2img",
"conAndSegAndGen": "gen"
}
,
"adetailerEnable": 0,
"text2img": {
"prompt": self.tags,
"negativePrompt": self.ntags,
"extraNetwork": "",
"samplingMethod": 0,
"samplingStep": self.steps,
"width": self.width,
"height": self.height,
"imgCount": self.batch_size,
"cfgScale": self.scale,
"seed": self.seed,
"seedExtra": 0,
"hiResFix": 0,
"restoreFaces": 0,
"tiling": 0,
"clipSkip": 2,
"randnSource": 0,
"tileDiffusion": None
}
,
"taskQueuePriority": 1
}
if self.enable_hr and self.flux is False and self.xl is False:
hr_payload = {
"hiresSteps": self.hr_second_pass_steps,
"denoisingStrength": self.denoising_strength,
"hiResFix": 1 if self.enable_hr else 0,
"hiResFixInfo": {
"upscaler": 6,
"upscaleBy": self.hr_scale,
"resizeWidth": int(self.width * self.hr_scale),
"resizeHeight": int(self.height * self.hr_scale)
}
}
input_['text2img'].update(hr_payload)
new_headers = {
"Accept": "application/json, text/plain, */*",
"Token": self.token
}
self.headers.update(new_headers)
response = await self.http_request(
method="POST",
target_url="https://liblib-api.vibrou.com/gateway/sd-api/generate/image",
headers=self.headers,
content=json.dumps(input_),
verify=False
)
# 检查请求结果
if response.get('error') == "error":
self.logger.warning(f"Failed to request: {response}")
else:
task = response
if task.get('msg') == 'Insufficient power':
self.logger.warning('费用不足!')
self.logger.info(f"API返回{task}")
task_id = task['data']
await self.heart_beat(task_id)
await self.err_formating_to_sd_style()
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