| class ControlnetPipeline: | |
| def __init__(self): | |
| self.pipe = None | |
| def load_model(self, stable_model_path: str, controlnet_model_path: str): | |
| raise NotImplementedError() | |
| def load_image(self, image_path: str): | |
| raise NotImplementedError() | |
| def controlnet_preprocces(self, read_image: str): | |
| raise NotImplementedError() | |
| def generate_image( | |
| self, | |
| image_path: str, | |
| stable_model_path: str, | |
| controlnet_model_path: str, | |
| prompt: str, | |
| negative_prompt: str, | |
| num_images_per_prompt: int, | |
| guidance_scale: int, | |
| num_inference_step: int, | |
| controlnet_conditioning_scale: int, | |
| scheduler: str, | |
| seed_generator: int, | |
| ): | |
| raise NotImplementedError() | |
| def web_interface(): | |
| raise NotImplementedError() | |