Video Gen · Model Guide · 4 min read
HunyuanVideo 13B
Tencent's open 13B video model — cinema-grade motion quality that led the open-source rankings at release.

| Developer | Tencent |
|---|---|
| Availability | Open weights |
| Commercial license | Tencent Hunyuan Community License: free for commercial use up to strict thresholds (roughly 100M monthly active users of your service) with a prohibited-use list; larger deployments need a license. It is commercial-friendly for individuals and small teams — read the exact terms. |
Basic Information
HunyuanVideo is Tencent's open video generation model, notable at release for producing motion and cinematic realism that rivaled some hosted frontier models — unusual for an open release. Its 13 billion parameters use a unified image-video backbone with strong text adherence and natural camera movement.
The trade-off is hardware: 720p generation is memory-hungry, so the community leans on quantized builds and CPU offloading to fit 24 GB cards, or splits work across larger rigs. It runs in ComfyUI with established community workflows.
Best use cases
- The highest-quality open-weights video on a single high-end GPU
- Offline generation where hosted content policies are a problem
- Community LoRAs and fine-tunes for stylized motion
- Integration into ComfyUI pipelines alongside image workflows
Computational Requirements
Heavy but consumer-reachable: full precision wants 45 GB+; quantized builds with offloading run on 24 GB cards at reduced speed.
| Configuration | Memory |
|---|---|
| FP16 (reference) | ~25 GB |
| Quantized + offload | ~24 GB class GPUs (slower) |
Commercial license
Tencent Hunyuan Community License: free for commercial use up to strict thresholds (roughly 100M monthly active users of your service) with a prohibited-use list; larger deployments need a license. It is commercial-friendly for individuals and small teams — read the exact terms.
Check whether it fits your hardware
HunyuanVideo 13B is in our compatibility library — open the compatibility panel and look it up with your GPU and context length.
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