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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.
import copy
from cosmos_predict1.diffusion.networks.general_dit import GeneralDIT
from cosmos_predict1.diffusion.networks.general_dit_multiview import MultiviewGeneralDIT
from cosmos_predict1.utils.lazy_config import LazyCall as L
from cosmos_predict1.utils.lazy_config import LazyDict
FADITV2Config: LazyDict = L(GeneralDIT)(
max_img_h=240,
max_img_w=240,
max_frames=128,
in_channels=16,
out_channels=16,
patch_spatial=2,
patch_temporal=1,
model_channels=4096,
block_config="FA-CA-MLP",
num_blocks=28,
num_heads=32,
concat_padding_mask=True,
pos_emb_cls="rope3d",
pos_emb_learnable=False,
pos_emb_interpolation="crop",
block_x_format="THWBD",
affline_emb_norm=True,
use_adaln_lora=True,
adaln_lora_dim=256,
)
FADITV2_14B_Config = copy.deepcopy(FADITV2Config)
FADITV2_14B_Config.model_channels = 5120
FADITV2_14B_Config.num_heads = 40
FADITV2_14B_Config.num_blocks = 36
FADITV2_Multiview_Config: LazyDict = L(MultiviewGeneralDIT)(
max_img_h=240,
max_img_w=240,
max_frames=128,
in_channels=16,
out_channels=16,
patch_spatial=2,
patch_temporal=1,
model_channels=4096,
block_config="FA-CA-MLP",
num_blocks=28,
num_heads=32,
concat_padding_mask=True,
pos_emb_cls="rope3d",
pos_emb_learnable=False,
pos_emb_interpolation="crop",
block_x_format="THWBD",
affline_emb_norm=True,
use_adaln_lora=True,
adaln_lora_dim=256,
n_views=6,
view_condition_dim=6,
add_repeat_frame_embedding=True,
rope_h_extrapolation_ratio=1.0,
rope_w_extrapolation_ratio=1.0,
rope_t_extrapolation_ratio=1.0,
)
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