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()