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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 hydra.core.config_store import ConfigStore
from cosmos_predict1.diffusion.networks.general_dit_video_conditioned import VideoExtendGeneralDIT
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict
GEN3C_Cosmos_7B: LazyDict = LazyDict(
dict(
defaults=[
{"override /net": "faditv2_7b"},
{"override /conditioner": "video_cond"},
{"override /tokenizer": "cosmos_diffusion_tokenizer_res720_comp8x8x8_t121_ver092624"},
"_self_",
],
model=dict(
latent_shape=[
16,
16,
88,
160,
],
conditioner=dict(video_cond_bool=dict()),
net=L(VideoExtendGeneralDIT)(
rope_h_extrapolation_ratio=1.0,
rope_w_extrapolation_ratio=1.0,
rope_t_extrapolation_ratio=2.0,
in_channels=16 + 16 * 4 + 1 # 16: video_latent, 16 * 4: (warped_frames + warped_frames_mask) * buffer 2, 1: mask
),
frame_buffer_max=2,
),
job=dict(group="Gen3c", name="GEN3C_Cosmos_7B"),
)
)
cs = ConfigStore.instance()
for _item in [
GEN3C_Cosmos_7B,
]:
cs.store(group="experiment", package="_global_", name=_item["job"]["name"], node=_item)
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