Published by Video Runtime · Source check 2026-09-05 · Evidence method · Suggest a correction
EDITORIALLY VERIFIED PRODUCT INFORMATION
About LongLive
Explore long-running autoregressive video generation and the infrastructure behind interactive streams. Generates video autoregressively. The current 2.0 infrastructure adds low-precision computation and parallel training and inference.
Key features
Offers research code for long-video generation, while the original interactive implementation remains on the v1.0 branch.
Getting started
Open the official repository, read its current README and licence, then follow the documented environment, checkpoint and inference steps. Start with the supplied example before using your own media or data.
Real-time interaction
Generates video autoregressively. The current 2.0 infrastructure adds low-precision computation and parallel training and inference.
Pricing
Apache-2.0; compute costs extra Repository code: Apache-2.0. Model weights and dependencies may have separate terms. No hosted price is estimated here. Budget for your own GPU or cloud usage after testing a representative workload.
Limitations
Version 1.0 and 2.0 have different implementations and hardware assumptions. Do not compare their headline throughput as if measured under one setup.
EDITORIAL VIEW
Editor's Verdict
Consider LongLive if its documented workflow matches your experiment; start from the linked repository rather than an unofficial mirror.
Check the licence and run a small local evaluation before choosing it for production. No ratings or measured results are inferred from its publication.
How It Works
- Generates video autoregressively. The current 2.0 infrastructure adds low-precision computation and parallel training and inference.
What We Like
- Offers research code for long-video generation, while the original interactive implementation remains on the v1.0 branch.
Current Limitations
- Version 1.0 and 2.0 have different implementations and hardware assumptions. Do not compare their headline throughput as if measured under one setup.
Pricing & Access
- Repository code: Apache-2.0. Model weights and dependencies may have separate terms.
- No hosted price is estimated here. Budget for your own GPU or cloud usage after testing a representative workload.
Verification Summary
- Official repository and licence reviewed on 2026-09-05. Video Runtime has not installed or benchmarked this project.
- This is a source review, not verification of demo uptime, output quality or performance on your hardware.
Technical notes & official performance
Official Performance Data
- The maintainers publish version-specific throughput results. This listing does not convert them into a browser latency or a consumer-device guarantee.
Technical Notes
- The main branch documents NVFP4 and FP8 paths and Wan-based components. Consult the selected version before choosing hardware or checkpoints.
Sources
- Official GitHub repository ↗github · accessed 2026-09-05
- Code licence ↗github · accessed 2026-09-05
- Official project documentation ↗official-docs · accessed 2026-09-05
Access, stage & mechanism
These are separate source-checked facts, not a live uptime monitor. Unverified fields are left open; transport and persistent sessions do not establish how frames are generated.
- Release stage
- Not verified
- Access mode
- Not verified
- Source availability
- Not verified
- Transport
- Not verified
- Interaction
- Not verified
- Session mode
- Not verified
- Generation mechanism
- Not verified
- Continuity method
- Not verified
- Licence status
- Not verified
- Tasks
- Not classified
CONTINUE EXPLORING
Related projects & models
Selected by research links and category, not by popularity.
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Run an action-conditioned interactive world model with open-ended rollout on a single desktop GPU.
Another frame streaming option in this section.Public repository; self-hosted installation and compatible GPU requiredRead how official-source and hands-on records stay separate in our Methodology.