LOCAL / OFFLINE AI VIDEO · DOCUMENTATION-BASED · VERIFIED SEPTEMBER 13, 2026
Local AI Video Generation: Models, Hardware, Licenses & What Actually Runs Locally
A documentation-first guide to running AI video models on hardware you control. We separate official requirements from independent hands-on testing so you can see what is documented, what remains uncertain, and what still needs real-world validation.
Technical research notice
This content is based on in-depth technical research and a review of the official documentation and sources cited on this page. Unless explicitly marked Hands-on Tested, the information is general technical guidance and should not be interpreted as a performance or compatibility guarantee.
Actual results can vary with GPU revision, VRAM/RAM, drivers, operating system, software/model versions, quantization, offloading, workflow settings, resolution and other factors. Always verify the latest official requirements before a purchase, installation or commercial-use decision.
Quick verdict
FramePack
The clearest documented 6GB-VRAM path, but only on the supported RTX generations.
LTX Desktop
A packaged desktop path; local Windows/Linux generation starts at 16GB VRAM.
Wan 2.2
A strong model family whose requirements vary dramatically by model; A14B is not a normal consumer-tier path.
HunyuanVideo 1.5
14GB with offloading per official docs, with Tencent license restrictions requiring review before deployment or commercial use.
Model comparison
| Model / tool | Official hardware signal | OS / local path | License signal |
|---|---|---|---|
| FramePack | At least 6GB VRAM; official README targets NVIDIA RTX 30/40/50 series and lists GTX 10/20 series as untested. | Windows / Linux desktop software. | Software repository: Apache-2.0. Underlying model licenses may separately apply. |
| HunyuanVideo 1.5 | Minimum 14GB VRAM with model offloading enabled. | Official requirements list Linux and an NVIDIA CUDA GPU. | Tencent Hunyuan Community License; territorial and acceptable-use restrictions apply. |
| Wan 2.2 | Official T2V-A14B example states at least 80GB VRAM; the TI2V-5B model is described as runnable on consumer hardware such as RTX 4090. | Python inference; official repository references ComfyUI integration. | Repository license: Apache-2.0. |
| LTX Desktop / LTX 2.x | Desktop local generation requires ≥16GB VRAM on Windows/Linux; Apple Silicon macOS requires ≥15GB free RAM for local mode. | Windows / Linux / Apple Silicon macOS. | Desktop app: Apache-2.0. Model weights can be governed by separate LTX community terms. |
| SkyReels V3 | Official low-VRAM mode targets GPUs under 24GB using FP8 weight-only quantization and block offload; no universal minimum is stated. | Python/CUDA; official repo recommends Python 3.12+ and CUDA 12.8+. | Skywork Community License; official license file says commercial use is supported subject to its terms. |
Hardware tiers — planning guide, not a guarantee
6–8GB VRAM
Entry/research tier. FramePack is the clearest official fit in this range on supported RTX generations; expect slower generation and aggressive memory management.
12–16GB VRAM
Mid-range research tier. HunyuanVideo 1.5 enters its documented minimum at 14GB with offloading; LTX Desktop local mode starts at 16GB on Windows/Linux.
24GB VRAM
Serious enthusiast tier with more room for quantized/offloaded workflows and the Wan 2.2 5B consumer path. Exact speed still depends on workflow.
48–80GB+ VRAM
Workstation/datacenter tier for large models and high-memory official examples such as Wan 2.2 T2V-A14B. More memory reduces compromises but is not a performance guarantee.
What “local” means here
Local generation means model inference can run on hardware you control. A workflow is not necessarily fully offline if it still uses cloud prompt extension, API text encoding, remote model hosting, or online authentication/downloads.
Licensing & commercial use
Downloadable weights do not automatically mean unrestricted commercial use. Code, model weights, LoRAs and outputs can be governed by different licenses. VideoToolMap links the official license and labels the status we found, but does not provide legal advice or guarantee that a specific use case is permitted.
What we have NOT tested
VideoToolMap has not independently benchmarked these models on owned hardware for this guide. We therefore do not publish our own FPS, seconds-per-frame, quality score, stability rate, power usage, thermal data, or “this GPU definitely works” claims. Future hands-on evidence will be added as a separately labeled layer.
Official sources used
Last verified: September 13, 2026. Source links are for reference only and do not imply affiliation, sponsorship or endorsement.