df_config_config.py

# 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