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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() | |