Overview
HunyuanVideo is Tencent’s open-source video generation model family, built on a unified Diffusion Transformer (DiT) architecture with a 3D causal VAE and selective sliding-tile attention. The 1.5 release (8.3B parameters) is notable for delivering flagship-level quality while running on consumer-grade GPUs with as little as 14GB of VRAM, dramatically lowering the barrier that previously required 50GB+ cards for open video models. It supports text-to-video and image-to-video, generating 5–10 second clips with strong motion coherence, lighting, and prompt adherence. The weights and code are published on Hugging Face and GitHub, and the community has already added ComfyUI and LightX2V support, with Diffusers integration planned. Casual users can try it through Tencent’s Yuanbao app, which offers text- and image-prompted generation. For developers and tinkerers, HunyuanVideo is one of the most accessible ways to self-host a high-quality video model and customize it for specific styles or pipelines.
Key Features
- Open-source weights and code on Hugging Face and GitHub
- Unified DiT architecture with 3D causal VAE for coherent motion
- Runs on consumer GPUs (≈14GB VRAM) via model offloading
- Text-to-video and image-to-video generation, 5–10s clips
- ComfyUI and LightX2V support, with Diffusers on the roadmap
Pricing
| Plan | Price | For |
|---|---|---|
| Open Source | $0 | Self-hosting, weights + code free |
| Yuanbao App | Free tier | Casual text/image-to-video use |
| Cloud GPU | Pay per use | Faster generation, no local hardware |
Comparison
Compared to Kling, HunyuanVideo trades a hosted product for full open-source freedom and local control. Against Runway, it offers no subscription but requires your own GPU or cloud. Like Wan, it is an open model you can self-host, but HunyuanVideo’s 8.3B size makes it far lighter to deploy.