# 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 Any, List import attrs from .df_base_model import DefaultModelConfig from .df_config_registry import register_configs from .config import Config as ori_Config from .config_helper import import_all_modules_from_package # import config here, not use importlib from .cosmos1diffusiontext2world import LazyDict from .cosmos1diffusionvideo2world import LazyDict @attrs.define(slots=False) class Config(ori_Config): # default config groups that will be used unless overwritten # see config groups in registry.py defaults: List[Any] = attrs.field( factory=lambda: [ "_self_", {"net": None}, {"conditioner": "add_fps_image_size_padding_mask"}, {"tokenizer": "tokenizer"}, {"experiment": None}, ] ) def make_config(): c = Config( model=DefaultModelConfig(), ) # Specifying values through instances of attrs c.job.project = "cosmos_diffusion" c.job.group = "inference" # Call this function to register config groups for advanced overriding. register_configs() # experiment config are defined in the experiment folder # call import_all_modules_from_package to register them import_all_modules_from_package("cosmos1.models.diffusion.config.inference", reload=True) return c