HunyuanVideo is one of the most demanding open-source models you can run locally. Tencent’s flagship video generation model produces genuinely impressive results — but it needs serious hardware to do it. Under 24GB of VRAM, your options narrow fast.
Quick answer: You need at least 24GB VRAM for practical HunyuanVideo generation at good quality. The RTX 4090 is the best value pick. The RTX 5090 is the fastest consumer option. If you do not have a 24GB GPU, cloud is the better path.
NVIDIA GeForce RTX 4090
24GB GDDR6X24GB GDDR6X handles HunyuanVideo at 720p with acceptable generation times. The most practical local option for serious AI video work.
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VRAM requirements for HunyuanVideo
HunyuanVideo is not a 12GB GPU task. The model weights alone push 30GB+ in full precision, and even with quantization, you need significant headroom.
| Resolution / Quality | Minimum VRAM | Recommended VRAM |
|---|---|---|
| 480p, low steps | 18GB (with offload) | 24GB |
| 720p, standard | 24GB | 32GB |
| 1080p experimental | 32GB | 40GB+ |
| Full quality, no offload | 32GB+ | 48GB+ |
With 24GB and careful quantization (fp8 or int8), 720p generation is achievable. Under 24GB, you are relying on system RAM offloading which slows generation dramatically.
Best GPU picks for HunyuanVideo
RTX 5090 — Fastest consumer option
32GB GDDR7 is currently the best consumer setup for HunyuanVideo. The extra 8GB over the 4090 gives meaningful headroom at 720p without quantization, and generation times are roughly 2x faster. At ~$2,000, it is expensive but it is the only consumer GPU that runs HunyuanVideo comfortably without aggressive quantization.
Check RTX 5090 on Amazon→Buy on Shopee SG→RTX 4090 — Best value for local generation
The 4090’s 24GB is the practical floor for HunyuanVideo. With fp8 quantization, you can run 720p generation without CPU offloading. Generation times are slower than the 5090 but acceptable for personal projects. At ~$2,200, it is the most cost-effective local option.
RTX 3090 — Usable with caveats
24GB GDDR6X can technically run HunyuanVideo with the same quantization tricks as the 4090. The slower memory bandwidth means generation takes noticeably longer. If you already own a 3090, it works. Buying one specifically for HunyuanVideo is harder to justify when the 4090 is not much more expensive.
Generation speed comparison
| GPU | VRAM | 5-sec 480p clip | 5-sec 720p clip |
|---|---|---|---|
| RTX 5090 | 32GB | ~4 min | ~9 min |
| RTX 4090 | 24GB | ~9 min | ~22 min |
| RTX 3090 | 24GB | ~13 min | ~32 min |
| RTX 4070 Ti Super | 16GB | Not recommended | Not recommended |
Estimates based on community benchmarks with fp8 quantization. Actual times vary by system, ComfyUI version, and model settings.
Should you use cloud instead?
For casual or experimental use of HunyuanVideo, cloud is the smarter option. RunPod and Vast.ai give you access to A100 or H100 instances that run HunyuanVideo at full quality without buying a $2,200 GPU. If you generate fewer than 10-15 clips per week, cloud costs less than owning the hardware.
Run HunyuanVideo on RunPod→ Try Vast.ai for AI Video→For heavy daily use, local hardware pays back within months. For occasional experimentation, it rarely does.
See also: Best GPU for AI video generation and How much VRAM for AI video.
Which GPU should YOU buy?
- Want the fastest local generation? RTX 5090 (32GB) — runs HunyuanVideo at 720p without compromise.
- Best value for serious local use? RTX 4090 (24GB) — usable with fp8 quantization, significant cost savings over 5090.
- Already own a 3090? It works. Not worth upgrading just for HunyuanVideo.
- Casual or occasional use? Skip the hardware entirely and use cloud GPU instances — much better economics for low volume.
- Have under 16GB VRAM? Cloud is your only practical option for HunyuanVideo at reasonable quality.
Common mistakes to avoid
- Trying to run HunyuanVideo on a 12GB GPU expecting usable results — the experience is painful and slow
- Skipping quantization on a 24GB GPU and running out of VRAM mid-generation
- Buying a GPU specifically for HunyuanVideo without checking whether you will use it heavily enough to justify the cost
- Overlooking alternative open-source video models — Wan 2.2 14B can deliver similar quality at lower VRAM cost. See our Flux vs HunyuanVideo hardware comparison if you’re choosing between image and video as your primary workload
- Underestimating storage requirements — HunyuanVideo model files are large and outputs fill up drives fast
- Skipping a broader VRAM check before buying — our how much VRAM for AI video breakdown covers every major model so you know what tomorrow’s video tools will demand from the same hardware
Final verdict
| Use case | Recommendation |
|---|---|
| Maximum performance | RTX 5090 (32GB) |
| Best value local | RTX 4090 (24GB) |
| Budget local option | RTX 3090 (24GB, used) |
| Occasional use | Cloud GPU (RunPod / Vast.ai) |
| Under 16GB VRAM | Cloud only |
HunyuanVideo rewards having real hardware. If you plan to generate AI video regularly, the RTX 4090 at 24GB is the minimum worth buying. For everything else, cloud is the honest recommendation.
NVIDIA GeForce RTX 4090
24GB GDDR6X24GB VRAM is the practical floor for HunyuanVideo locally. The 4090 hits the sweet spot between capability and price for AI video generation.
Affiliate links — we may earn a commission at no extra cost to you. Amazon ships globally; Shopee SG covers Singapore & ASEAN.
HunyuanVideo is VRAM-hungry by design. Match the hardware to your actual generation volume — cloud is legitimate for casual use.