Update sd_samplers_kdiffusion.py

            sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma] + [sigma])

            image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_cond] + [torch.zeros_like(self.init_latent)])

        denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps)

        denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps, tensor, uncond)

        cfg_denoiser_callback(denoiser_params)

        x_in = denoiser_params.x

        image_cond_in = denoiser_params.image_cond

        sigma_in = denoiser_params.sigma

        tensor = denoiser_params.tensor

        uncond = denoiser_params.uncond

        if tensor.shape[1] == uncond.shape[1]:

            if not is_edit_model: