| import traceback
|
| import piexif
|
| import fal_client
|
| import os
|
|
|
| from io import BytesIO
|
| from .base import Backend
|
|
|
|
|
| class AIDRAW(Backend):
|
|
|
| def __init__(self, count, payload, **kwargs):
|
| super().__init__(count=count, payload=payload, **kwargs)
|
|
|
| self.model = "Fal-AI - FLUX.1 [schnell]"
|
| self.model_hash = "c7352c5d2f"
|
| self.logger = self.setup_logger('[FLUX-FalAI]')
|
|
|
| token = self.config.fal_ai[self.count]
|
| self.token = token
|
| self.backend_name = self.config.backend_name_list[2]
|
| self.workload_name = f"{self.backend_name}-{token}"
|
|
|
| async def get_shape(self):
|
|
|
| aspect_ratio = self.width / self.height
|
| tolerance = 0.05
|
|
|
| def is_close_to_ratio(ratio):
|
| return abs(aspect_ratio - ratio) < tolerance
|
|
|
| if self.width == self.height:
|
| return "square"
|
| elif is_close_to_ratio(4 / 3):
|
| return "portrait_4_3" if self.height > self.width else "landscape_4_3"
|
| elif is_close_to_ratio(16 / 9):
|
| return "portrait_16_9" if self.height > self.width else "landscape_16_9"
|
| else:
|
| return "portrait_4_3"
|
|
|
| async def update_progress(self):
|
|
|
| pass
|
|
|
| async def get_img_comment(self):
|
|
|
| image_data = self.img_btyes[0]
|
| image_file = BytesIO(image_data)
|
| image_bytes = image_file.getvalue()
|
| exif_dict = piexif.load(image_bytes)
|
| try:
|
| user_comment = exif_dict['Exif'].get(piexif.ExifIFD.UserComment)
|
| except Exception:
|
| return 'No Raw Data'
|
|
|
| return user_comment.decode('utf-8', errors='ignore')
|
|
|
| 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):
|
|
|
| os.environ['FAL_KEY'] = self.token
|
| image_shape = await self.get_shape()
|
| self.steps = int(self.steps / 3)
|
|
|
| handler = await fal_client.submit_async(
|
| "fal-ai/flux/schnell",
|
| arguments={
|
| "prompt": self.tags,
|
| "image_size": image_shape,
|
| "seed": self.seed,
|
| "num_inference_steps": self.steps,
|
| "num_images": self.total_img_count,
|
| "enable_safety_checker": True
|
| },
|
| )
|
|
|
| response = await handler.get()
|
|
|
| try:
|
| if response['images']:
|
| images_list = response['images']
|
| for i in images_list:
|
| self.img_url.append(i['url'])
|
| else:
|
| raise ValueError("图片没有被生成,可能是图片没有完成或者结果不可用")
|
| except Exception as e:
|
| self.fail_on_requesting = True
|
| self.logger.error(f"请求API失败: {e}\n{traceback.format_exc()}")
|
|
|
| await self.err_formating_to_sd_style()
|
|
|
