# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Tuple import torch class EDMScaling: def __init__(self, sigma_data: float = 0.5): self.sigma_data = sigma_data def __call__(self, sigma: torch.Tensor) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: c_skip = self.sigma_data**2 / (sigma**2 + self.sigma_data**2) c_out = sigma * self.sigma_data / (sigma**2 + self.sigma_data**2) ** 0.5 c_in = 1 / (sigma**2 + self.sigma_data**2) ** 0.5 c_noise = 0.25 * sigma.log() return c_skip, c_out, c_in, c_noise