HunyuanVideo
A large open-weights text-to-video model from Tencent. Genuinely good output, and a genuinely large hardware bill.
- Self-hosted
- Active
- Unknown adult content
- Open source
At a glance
- Where it runs
- Self-hostedYou run it on your own machine. Nothing leaves it unless you send it.
- Adult content
- UnknownWe have not found a clear answer. We would rather say so.
- Trains on your content
- NoYour content is not used to train models.
- Status
- ActiveMaintained and working today.
- Account needed
- No
- Licence
- Tencent Hunyuan Community License
- Cost
- Free weights under a community licence with use restrictions.
- What it keeps
- Local only.
What it takes to run
- Graphics memory
- 16 GB VRAM, 48 GB recommended
- System memory
- 32 GB, 64 GB recommended
- Disk
- about 80 GB
- Runs on
- Linux
Find what fits your machine on the tools page — pick your hardware from the first menu.
One of the first open-weights video models whose output stood up next to the closed services. The weights are downloadable and it runs locally, which for video is a much bigger deal than it sounds.
The requirement is the catch: a full-quality generation wants far more VRAM than a consumer card has, and the community quantisations that bring it down to 12 or 16 GB cost quality and time.
Worth knowing before you start
- Very heavy Full quality is a datacentre card; consumer use means quantised community builds.
- Community licence, not open source The licence carries use restrictions and a territorial exclusion.
What it does
- Open weights
- ComfyUI support
- Text and image to video
How it relates to other tools
- requires ComfyUI — the usual way to run it on a desktop
Signs of life
Checked automatically. These are the only figures on this page a machine wrote, and they say when they were taken.
- Last answered
- Yes, 3 hours ago Its website responded when we asked.
- Stars on GitHub
- 12,527 1,331 forks.
- Last commit
- 78 days ago2026-06-29 09:33 UTC
- Archived copy
- Wayback Machine A snapshot, in case this one stops answering.
Categories
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