File size: 4,498 Bytes
3aed964 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 | 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)
# 需要更改
self.model = f"SeaArt - {self.config.seaart_setting['model'][self.count]}"
self.model_hash = "c7352c5d2f"
self.logger = self.setup_logger('[SeaArt]')
token = self.config.seaart[self.count]
self.token = token
self.backend_name = self.config.backend_name_list[6]
self.workload_name = f"{self.backend_name}-{token}"
async def heart_beat(self, id_):
self.logger.info(f"{id_} 开始请求")
data = json.dumps({"task_ids": [id_]})
for i in range(60):
response = await self.http_request(
method="POST",
target_url="https://www.seaart.me/api/v1/task/batch-progress",
headers=self.headers,
content=data
)
if isinstance(response, dict) and 'error' in response:
raise RuntimeError(f"请求失败，错误信息: {response.get('details')}")
else:
items = response.get('data', {}).get('items', [])
if not items:
self.logger.info(f"第{i + 1}次心跳，未返回结果")
await asyncio.sleep(5)
continue
for item in items:
urls = item.get("img_uris")
if urls is None:
self.logger.info(f"第{i + 1}次心跳，未返回结果")
await asyncio.sleep(5)
continue
elif isinstance(urls, list):
for url in urls:
self.logger.img(f"图片url: {url['url']}")
self.img_url.append(url['url'])
return
raise RuntimeError(f"任务 {id_} 在60次心跳后仍未完成")
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):
await self.download_img()
self.format_api_respond()
self.result = self.build_respond
async def posting(self):
input_ = {
"action": 1,
"art_model_no": "1a486c58c2aa0601b57ddc263fc350d0",
"category": 1,
"speed_type": 1,
"meta":
{
"prompt": self.tags,
"negative_prompt": self.ntags,
"restore_faces": self.restore_faces,
"seed": self.seed,
"sampler_name": self.sampler,
"width": self.width,
"height": self.height,
"steps": self.steps,
"cfg_scale": self.scale,
"lora_models": [],
"vae": "vae-ft-mse-840000-ema-pruned",
"clip_skip": 1,
"hr_second_pass_steps": 20,
"lcm_mode": 0,
"n_iter": 1,
"embeddings": []
}
}
if self.enable_hr:
hr_payload = {
"hr_second_pass_steps": self.hr_second_pass_steps,
"enable_hr": True,
"hr_upscaler": "4x-UltraSharp",
"hr_scale": self.hr_scale,
}
input_['meta'].update(hr_payload)
new_headers = {
"Accept": "application/json, text/plain, */*",
"Token": self.token
}
self.headers.update(new_headers)
data = json.dumps(input_)
response = await self.http_request(
method="POST",
target_url="https://www.seaart.me/api/v1/task/create",
headers=self.headers,
content=data
)
if isinstance(response, dict) and 'error' in response:
self.logger.warning(f"{response.get('details')}")
else:
task = response
task_id = task.get('data', {}).get('id')
if task_id:
await self.heart_beat(task_id)
await self.err_formating_to_sd_style()
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