| from typing import Dict, List, Any | |
| from diffusers import ControlNetModel, StableDiffusionControlNetPipeline, StableDiffusionPipeline | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| self.pipeline = StableDiffusionPipeline.from_single_file( | |
| "https://huggingface.co/artificialguybr/LogoRedmond-LogoLoraForSDXL/blob/main/LogoRedmond_LogoRedAF.safetensors" | |
| ) | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| """ | |
| data args: | |
| inputs (:obj: `str` | `PIL.Image` | `np.array`) | |
| kwargs | |
| Return: | |
| A :obj:`list` | `dict`: will be serialized and returned | |
| """ | |
| # Use self.pipeline for inference | |
| # result = self.pipeline(your_input_data) | |
| # return result | |