threestudio/models/guidance/stable_diffusion_unified_guidance.py [579:610]:
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        )

        latents_1step_orig = (
            1
            / self.alphas[t].view(-1, 1, 1, 1)
            * (latents_noisy - self.sigmas[t].view(-1, 1, 1, 1) * eps_pretrain)
        ).detach()

        if self.cfg.guidance_type == "sds":
            eps_phi = noise
        elif self.cfg.guidance_type == "vsd":
            if self.cfg.vsd_camera_condition_type == "extrinsics":
                camera_condition = c2w
            elif self.cfg.vsd_camera_condition_type == "mvp":
                camera_condition = mvp_mtx
            elif self.cfg.vsd_camera_condition_type == "spherical":
                camera_condition = torch.stack(
                    [
                        torch.deg2rad(elevation),
                        torch.sin(torch.deg2rad(azimuth)),
                        torch.cos(torch.deg2rad(azimuth)),
                        camera_distances,
                    ],
                    dim=-1,
                )
            else:
                raise ValueError(
                    f"Unknown camera_condition_type {self.cfg.vsd_camera_condition_type}"
                )
            eps_phi = self.get_eps_phi(
                latents_noisy,
                t,
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threestudio/models/guidance/zero123_unified_guidance.py [576:607]:
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        )

        latents_1step_orig = (
            1
            / self.alphas[t].view(-1, 1, 1, 1)
            * (latents_noisy - self.sigmas[t].view(-1, 1, 1, 1) * eps_pretrain)
        ).detach()

        if self.cfg.guidance_type == "sds":
            eps_phi = noise
        elif self.cfg.guidance_type == "vsd":
            if self.cfg.vsd_camera_condition_type == "extrinsics":
                camera_condition = c2w
            elif self.cfg.vsd_camera_condition_type == "mvp":
                camera_condition = mvp_mtx
            elif self.cfg.vsd_camera_condition_type == "spherical":
                camera_condition = torch.stack(
                    [
                        torch.deg2rad(elevation),
                        torch.sin(torch.deg2rad(azimuth)),
                        torch.cos(torch.deg2rad(azimuth)),
                        camera_distances,
                    ],
                    dim=-1,
                )
            else:
                raise ValueError(
                    f"Unknown camera_condition_type {self.cfg.vsd_camera_condition_type}"
                )
            eps_phi = self.get_eps_phi(
                latents_noisy,
                t,
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