NVIDIA/flashdreams

Última actividad de origen registrada: 21 de octubre de 2026 a las 09:50

Catálogo de SkillsMP actualizado: 5 de noviembre de 2026 a las 19:57

skills recopiladas: 11

Estrellas en GitHub: 530
Forks en GitHub: 69

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README del repositorio

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<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="assets/logo/horizontal-dark.svg"> <img alt="FlashDreams" src="assets/logo/horizontal-light.svg" width="600"> </picture> </p> <p align="center"> <a href="LICENSE"><img alt="License: Apache 2.0" src="https://img.shields.io/badge/License-Apache_2.0-blue.svg"></a> <a href="https://nvidia.github.io/flashdreams/main/index.html"><img alt="Documentation" src="https://img.shields.io/badge/docs-latest-blue.svg"></a> </p> **FlashDreams** is a high-performance inference and serving library for interactive autoregressive video and world models. It began as the optimized runtime behind the [NVIDIA OmniDreams closed-loop demo for GTC 2026][omnidreams-blog] and has grown into a general platform for real-time world-model applications across gaming, autonomous vehicles, robotics, simulated or virtual environments, and more. ## Quickstart The complete setup is in our [quick-start guide](https://nvidia.github.io/flashdreams/main/quickstart/index.html#install). ## Checkout Our Demos! 🎉 Quick-start to our interactive driving demo is [here](https://nvidia.github.io/flashdreams/main/quickstart/index.html#run-your-first-model). ![](docs/source/_static/demo_clips/interactive-drive.avif) Checkout our game-like crazy-robotaxi demo [here](https://nvidia.github.io/flashdreams/main/demos/crazy_robotaxi/). ![](docs/source/_static/demo_clips/crazy-robotaxi.avif) Try [Cosmos3 Nano Sim Auto](integrations_v2/cosmos3_nano_sim_auto/README.md) for multiview driving with prepared HD maps and optional LiDAR. ## Developer guides ### For Demo Developers Make demos using world-models with our [Demo API](https://nvidia.github.io/flashdreams/main/documentation/demo_api/). ### For Model Developers Implement world-models with our [Inferencing API](https://nvidia.github.io/flashdreams/main/documentation/inferencing_api/). ## Contributing For how to contribute, see [`CONTRIBUTING.md`](CONTRIBUTING.md). New integrations, bug reports, feature requests, performance tuning, and documentation edits are all welcome. Use [GitHub Issues](https://github.com/NVIDIA/flashdreams/issues) to report defects or request improvements. Join us on the [NVIDIA Omniverse Discord](https://discord.com/invite/nvidiaomniverse) to share your results and take part in technical discussion! Channel: [`#flashdreams`](https://discord.gg/cMt2mHm4aN) ## Security To report a potential security vulnerability, follow the coordinated disclosure process in [`SECURITY.md`](SECURITY.md). ## License FlashDreams is released under the [Apache License 2.0](LICENSE). Third-party components and their licenses are listed in [`THIRD-PARTY-NOTICES`](THIRD-PARTY-NOTICES) and [`NOTICE`](NOTICE). The repository is REUSE-compliant; see [`REUSE.toml`](REUSE.toml) and [`LICENSES/`](LICENSES/). The independently packaged [Ludus renderer](integrations_v2/omnidreams/impl/ludus-renderer/LICENSE) retains its own Apache license file; [upstream cudaraster terms](integrations_v2/omnidreams/impl/ludus-renderer/ludus_renderer/_cpp/cudaraster/LICENSE) and per-file exceptions are described in the third-party notices. ## External materials **NOTICE AND DISCLAIMER: This software automatically retrieves, accesses or interacts with external materials. Those retrieved materials are not distributed with this software and are governed solely by separate terms, conditions and licenses. You are solely responsible for finding, reviewing and complying with all applicable terms, conditions, and licenses, and for verifying the security, integrity and suitability of any retrieved materials for your specific use case. This software is provided "AS IS", without warranty of any kind. The author makes no representations or warranties regarding any retrieved materials, and assumes no liability for any losses, damages, liabilities or legal consequences from your use or inability to use this software or any retrieved materials. Use this software and the retrieved materials at your own risk.** ## Citation If FlashDreams is useful in your research or product, please cite the project: ```bibtex @misc{flashdreams2026, title = {FlashDreams: High-performance inference and serving for interactive autoregressive video and world models}, author = {{FlashDreams Contributors}}, year = {2026}, howpublished = {\url{https://github.com/NVIDIA/flashdreams}}, } @misc{nvidia2026omnidreams, title = {{NVIDIA} {OmniDreams}: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation}, author = {Basant, Aarti and Kar, Amlan and Paschalidou, Despoina and Wei, Fangyin and Ferroni, Francesco and Garcia Cobo, Guillermo and Turki, Haithem and Ling, Huan and Seo, Jaewoo and Lucas, James and Wu, Jay Zhangjie and Wang, Jialiang and Lorraine, Jonathan and Gao, Jun and He, Kai and Tothova, Katarina and Xie, Kevin and Tyszkiewicz, Micha{\l} and Wu, Qi and de Lutio, Riccardo and Li, Ruilong and Fidler, Sanja and Kim, Seung Wook and Shen, Tianchang and Cao, Tianshi and Pfaff, Tobias and Lew, William and Wu, Xindi and Ren, Xuanchi and Lu, Yifan and Zhang, Yuxuan and Gojcic, Zan and Wang, Zian}, year = {2026}, eprint = {2606.03159}, archivePrefix = {arXiv}, primaryClass = {cs.CV}, doi = {10.48550/arXiv.2606.03159}, url = {https://arxiv.org/abs/2606.03159}, } ``` [omnidreams-blog]: https://research.nvidia.com/labs/sil/projects/omnidreams-blog/

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