Instructions to use Nvidia-CMU25/DiffusionVideo2WorldGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nvidia-CMU25/DiffusionVideo2WorldGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Nvidia-CMU25/DiffusionVideo2WorldGeneration", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nvidia-CMU25/DiffusionVideo2WorldGeneration", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # 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 .config_base_conditioner import ( | |
| BaseVideoConditionerConfig, | |
| VideoConditionerFpsSizePaddingConfig, | |
| VideoExtendConditionerConfig, | |
| ) | |
| from .df_config_base_net import FADITV2_14B_Config, FADITV2Config | |
| from .df_config_base_tokenizer import get_cosmos_diffusion_tokenizer_comp8x8x8 | |
| def register_net(cs): | |
| cs.store( | |
| group="net", | |
| package="model.net", | |
| name="faditv2_7b", | |
| node=FADITV2Config, | |
| ) | |
| cs.store( | |
| group="net", | |
| package="model.net", | |
| name="faditv2_14b", | |
| node=FADITV2_14B_Config, | |
| ) | |
| def register_conditioner(cs): | |
| cs.store( | |
| group="conditioner", | |
| package="model.conditioner", | |
| name="basic", | |
| node=BaseVideoConditionerConfig, | |
| ) | |
| cs.store( | |
| group="conditioner", | |
| package="model.conditioner", | |
| name="add_fps_image_size_padding_mask", | |
| node=VideoConditionerFpsSizePaddingConfig, | |
| ) | |
| cs.store( | |
| group="conditioner", | |
| package="model.conditioner", | |
| name="video_cond", | |
| node=VideoExtendConditionerConfig, | |
| ) | |
| def register_tokenizer(cs): | |
| cs.store( | |
| group="tokenizer", | |
| package="model.tokenizer", | |
| name="cosmos_diffusion_tokenizer_res720_comp8x8x8_t121_ver092624", | |
| node=get_cosmos_diffusion_tokenizer_comp8x8x8(resolution="720", chunk_duration=121), | |
| ) | |
| def register_configs(): | |
| cs = ConfigStore.instance() | |
| register_net(cs) | |
| register_conditioner(cs) | |
| register_tokenizer(cs) | |