Video model · wan
WA Wan 2.2 TI2V 5B requirements
DIT video model · 5B params · 1280×704 (720p), 121f (~5s) · released Jul 2025. Realistic minimum to run: Nvidia GeForce RTX 3060 (12GB) at Q4 GGUF.
Backbone size by precision
| Precision | Size |
|---|---|
| fp16 / bf16 | 10 GB |
| Q8 GGUF | 5.4 GB |
| Q4 GGUF (recommended) | 3.43 GB |
| Q2 GGUF | 1.85 GB |
Backbone weights only. Peak VRAM is dominated by the activation memory for 121 frames at 1280×704 (720p), not the file size.
Pipeline components
| Component | Size |
|---|---|
| umT5-XXL text encoder offloaded | 3.66 GB |
| VAE (3D) | 2.82 GB |
Video VAEs are larger than image VAEs because they decode a temporal stack of frames.
Run it
Wan 2.2 TI2V 5B runs in ComfyUI or Diffusers. Generating more frames or higher resolution raises peak VRAM sharply; the Q4 GGUF figure is for the default 121-frame clip.
Which devices can run Wan 2.2 TI2V 5B?
Apple Silicon Macs
- Apple M1 (8GB) No
- Apple M2 (16GB) Yes
- Apple M4 (16GB) Yes
- Apple M5 (16GB) Yes
- Apple M3 Pro (18GB) Yes
- Apple M4 (24GB) Yes
- Apple M4 Pro (24GB) Yes
- Apple M5 (32GB) Yes
- Apple M4 Pro (48GB) Yes
- Apple M5 Pro (48GB) Yes
- Apple M4 Max (64GB) Yes
- Apple M4 Max (128GB) Yes
- Apple M5 Max (128GB) Yes
- Apple M3 Ultra (256GB) Yes
RAM-only laptops
No mainstream local runtime for a 5B video model on RAM-only laptops yet.
iPhone & iPad
No mainstream local runtime for a 5B video model on iPhone & iPad yet.
Android
No mainstream local runtime for a 5B video model on Android yet.
NVIDIA GPUs
AMD GPUs
FAQ
How much VRAM does Wan 2.2 TI2V 5B need?
At Q4 GGUF the realistic peak is ~8 GB, versus ~24 GB with every component resident. With aggressive CPU offload it drops to ~5 GB, much slower.
Why is peak VRAM lower than the sum of the files?
The text encoder is run once to encode your prompt, then offloaded to CPU before the frames are generated, so it is not resident at the memory peak.
Can I use Wan 2.2 TI2V 5B commercially?
Yes. Wan 2.2 TI2V 5B is licensed Apache-2.0, which permits commercial use.
Wan 2.2's unified 5B text-and-image-to-video model (720p, 121 frames at 24fps). The official spec asks for a 24GB GPU with offload, but ComfyUI native offloading fits it well on 8GB, and GGUF Q4_K_M (3.43GB) + T5 on CPU lands around 5-8GB. Note the larger 2.82GB Wan 2.2 VAE. Apache-2.0, commercial OK. Anchor is the ComfyUI 8GB path (synthesis). Sources: Wan-AI card, QuantStack GGUF, ComfyUI Wan 2.2 tutorial, Wan2.2 repo.
Sources
VRAM is a sourced peak-usage anchor at Q4 GGUF (composed from component sizes, not a single measurement) for the default clip length, validated 2026-06-15. See methodology.