Method apply

dynamic_conditioning.py:23–28

(self, model, power, only_first_frame)

    INIT = False

    def apply(self, model, power, only_first_frame):
        self.only_first_frame = only_first_frame
        self.power = power
        model = model.clone()
        model.set_model_denoise_mask_function(self.forward)
        return (model,)

    def find_step(self, sigma: torch.Tensor, step_sigmas: torch.Tensor):
        for i, step_sigma in enumerate(step_sigmas):