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# 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
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