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Hunyuan Video

✓ Editorially verified

Tencent's open-source, 13B-parameter text-to-video foundation model.

Freemium· Open-source weights are free to download and self-host. Tencent's hosted product surface (aivideo.hunyuan.tencent.com) is free to use with account gating in mainland China; API access is offered through Tencent Cloud on pay-per-generation pricing.VideoHunyuanVideo (in-house, ~13B-parameter diffusion transformer with causal 3D VAE and MLLM text encoder)
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In short

Hunyuan Video is a frontier-tier, open-source text-to-video foundation model by Tencent. It is best for researchers and VFX teams needing self-hosted, fine-tunable video generation without per-second SaaS costs.

Best for

Generative video researchers, VFX and pre-viz teams, and studios that want frontier-tier open weights they can fine-tune, self-host, and pipeline into ComfyUI without paying per second.

Skip if

Casual creators without a high-end GPU, or teams that need long-form (30s+) single-take clips, tight character consistency across shots, or a polished western SaaS UX with billing.

Hunyuan Video is Tencent's open-source text-to-video foundation model, released in late 2024 as one of the largest publicly available video generation systems at roughly 13B parameters. It uses a diffusion transformer backbone with a 'dual-stream to single-stream' hybrid design, a causal 3D VAE that compresses video into a compact latent space, and a multimodal LLM as its text encoder in place of the CLIP/T5 encoders used by most competitors. The result is notably strong prompt adherence, cinematic motion, and physical plausibility that benchmark-close to closed models like Runway Gen-3 and Kling. Standard output is 129 frames (roughly 5 seconds) at up to 1280x720, with support for 9:16, 16:9, 4:3, 3:4 and 1:1 aspect ratios and a built-in 'Normal' and 'Master' prompt-rewriting mode that reshapes user prompts into the format the model was trained on. The repository ships with an image-to-video variant, a LoRA training pipeline, ComfyUI nodes, Docker images, a Gradio UI, and Diffusers integration, and the weights are mirrored on Hugging Face. Tencent also runs a hosted consumer product and exposes generation through Tencent Cloud's API. It is aimed at researchers, generative-AI studios, VFX and pre-viz teams, and independent creators who need frontier-tier video quality without a per-second SaaS bill and are willing to run an 80GB-class GPU (or rent one). Common workflows include text-to-video shorts, image-to-video animation of stills and product shots, LoRA fine-tunes on branded characters or styles, and using it as the generation backend inside ComfyUI pipelines.

Editor's take

The most credible open-source answer to Runway and Kling to date. If you have the GPUs, Hunyuan Video is genuinely the one to build on right now - the MLLM text encoder makes it feel closer to Sora-class prompt handling than any other open model, and the ComfyUI/LoRA ecosystem is moving fast. Just don't underestimate the hardware bill or the ~5-second clip ceiling.

— The AI Tool Bible editorial team

Pros

  • Open weights under a permissive research/commercial license (with regional restrictions), unusual for a frontier-tier video model
  • Strong motion coherence and prompt adherence, competitive with Runway Gen-3 and Kling in public evaluations
  • Multimodal LLM text encoder handles longer, more descriptive prompts better than CLIP/T5-based peers
  • First-class ComfyUI and Diffusers integration, plus official Docker and Gradio interfaces
  • Supports image-to-video, LoRA fine-tuning, and multiple aspect ratios out of the box
  • Free to self-host if you own the hardware, with no per-second generation cost

Cons

  • ⚠️ Requires a 60-80GB GPU (H100/A100) for 720p generation; consumer cards need aggressive quantization or offloading
  • ⚠️ Standard clip length is only ~5 seconds (129 frames) per generation; longer scenes need stitching
  • ⚠️ Hosted Tencent product is primarily targeted at mainland China users and can be awkward to sign up for from abroad
  • ⚠️ License carves out large-user commercial deployment and some regional uses; read the terms before shipping
  • ⚠️ Ecosystem is younger than Runway/Pika, so tooling for shot planning, cameras, and character consistency is thinner

Use cases

Text-to-video short clipsImage-to-video animationProduct shot animationCinematic B-roll generationLoRA fine-tuning on branded stylesComfyUI video pipelinesPre-visualization for VFX shotsResearch on video diffusion modelsSocial-format vertical video (9:16)Concept-art motion tests

Frequently asked

What are the hardware requirements for running Hunyuan Video?
The model requires a 60-80GB GPU, such as an H100 or A100, for 720p generation. Consumer cards may require aggressive quantization or offloading to run the model.
How long are the video clips generated by Hunyuan Video?
Standard output is 129 frames, which is roughly 5 seconds long. Longer scenes require stitching multiple generations together, as single-take clips over 30 seconds are not supported.
Is Hunyuan Video free to use?
Open-source weights are free to download and self-host. Tencent's hosted product is free to use with account gating in mainland China, while API access via Tencent Cloud uses pay-per-generation pricing.
What unique technical features does Hunyuan Video have?
It uses a diffusion transformer backbone with a causal 3D VAE and a multimodal LLM as its text encoder. This design supports strong prompt adherence and handles longer, descriptive prompts better than CLIP/T5-based competitors.
Does Hunyuan Video support image-to-video generation?
Yes, the repository includes an image-to-video variant. It also supports LoRA training pipelines, ComfyUI nodes, and multiple aspect ratios including 9:16 and 16:9.

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