HunyuanVideo is Tencent's open-weight, 13-billion-parameter text-to-video model, free to download and run on your own hardware, needing roughly 45GB of GPU memory at 540p or 60GB at 720p (an 80GB GPU is recommended). Community-built ComfyUI integrations exist, though they aren't officially maintained by Tencent. Pick it when you have serious GPU access and want open, self-hosted video generation.
Other good fits
Running video generation inside an existing ComfyUI pipeline through a community-built integration.
+ Pros
HunyuanVideo is an open-source, 13-billion-parameter text-to-video (and image-to-video) foundation model from Tencent, free to download and run on your own hardware. Unlike a per-second hosted API, once you have the hardware, generation itself costs nothing beyond electricity and depreciation.
Pick it when…
You have (or can rent) a high-memory GPU and want to self-host video generation instead of paying a hosted API per second.
You want to run video generation inside an existing ComfyUI-based pipeline.
You want a genuinely open-weight video model to fine-tune or study, not just a hosted product.
− Cons
Read cons
The hardware requirement is a real barrier: 45GB+ of GPU memory is well beyond a typical consumer GPU, so this isn't a casual local option the way a smaller image model might be. ComfyUI integration exists only through community contributions (ComfyUI-HunyuanVideoWrapper and a native ComfyUI-HunyuanVideo project), not an officially maintained Tencent integration, so support and update timelines depend on that community, not the model's original publisher.
Pick something else when…
You don't have high-memory GPU access and don't want to rent one. A hosted video API bills per second instead, with no hardware to manage.
You want official, vendor-supported tooling, not community integrations. Check whether a hosted alternative offers more direct support for your workflow.
You want video generation as one step in a broader, easier-to-manage pipeline.ComfyUI itself (with a community HunyuanVideo integration) or Artlist AI Flows may suit better depending on your setup preference.
Avoid if
You need official, vendor-maintained ComfyUI support; the current integrations are community contributions, not Tencent's own.
Context
Not documented yet.
Requirements
GPU memory needs scale with resolution and frame count: about 45GB of peak memory for 540p (960×544, 129 frames), and about 60GB for 720p (1280×720, 129 frames). Tencent recommends an 80GB GPU for the best quality and headroom. An NVIDIA GPU with CUDA support is required; multi-GPU setups can use xDiT for faster, parallel generation.
Licence & cost
The model weights are free to download; the real cost is GPU hardware capable of the 45-60GB memory range, either owned or rented from a cloud GPU provider. Running it via a rented cloud GPU instead of owned hardware shifts the cost to an hourly rate, which can still be cheaper than a hosted per-second video API for heavy, repeated use, but needs comparing directly against that alternative for your actual volume.
First task
Documentation-based suggestion — not run here.
Run the command-line sample_video.py script (or the Gradio web interface, gradio_server.py) with a short, made-up prompt at the smaller 540p setting first, to confirm your hardware and setup work before attempting a longer or higher-resolution generation.
Done when you've generated one short clip successfully at 540p and understand how prompt, resolution and frame count trade off against generation time and memory use on your specific hardware.
Links & evidence
Documentation-based · not hands-on · Sep 23, 2026
Rests on HunyuanVideo's GitHub repository, read on 2026-09-23. No model was downloaded or run for this review.
HunyuanVideo GitHub repository · Sep 23, 2026 — 13B-parameter open-weight model, GPU memory requirements (45GB/60GB), CUDA requirement, community ComfyUI integrations.
ComfyUI GitHub repository · Sep 23, 2026 — Comparison/companion tool for running video generation in a node-based pipeline.
Artlist AI Suite plans · Sep 23, 2026 — Comparison alternative for hosted, credit-metered video generation without hardware.
Further review notes & alternatives
Alternatives and trade-offs
ComfyUI wins as the pipeline tool to run HunyuanVideo inside, if you want node-based control over the broader workflow.
Artlist AI Flows wins when you'd rather pay a credit-metered hosted service than manage GPU hardware yourself.
A hosted video-generation API wins when the hardware requirement here is simply out of reach, in exchange for a per-second cost.
Generate short text-to-video clips with an open model.
Run it through ComfyUI in an existing video workflow.
Choose it when multi-GPU or rented high-memory hardware is available.