| 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.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):
|
|
|
| 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()
|
|
|
|
|
