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Video model · wan

WA Wan 2.1 T2V 14B requirements

DIT video model · 14B params · 1280×720 (720p), 81f (~5s) · released Feb 2025. Realistic minimum to run: Nvidia GeForce RTX 4060 Ti (16GB) at Q4 GGUF.

Apache-2.0 Commercial use OK
Peak VRAM (Q4 GGUF)
~12 GB
All resident
~40 GB
Offload floor
~8 GB
Clip
81f / ~5s

Backbone size by precision

PrecisionOn disk
PrecisionSize
fp16 / bf16 28.6 GB
Q8 GGUF 15.9 GB
Q4 GGUF (recommended) 10.1 GB
Q2 GGUF 6.99 GB

Backbone weights only. Peak VRAM is dominated by the activation memory for 81 frames at 1280×720 (720p), not the file size.

Pipeline components

ComponentSize
ComponentSize
umT5-XXL text encoder offloaded 3.66 GB
VAE (3D) 0.51 GB

Video VAEs are larger than image VAEs because they decode a temporal stack of frames.

Run it

Wan 2.1 T2V 14B runs in ComfyUI or Diffusers. Generating more frames or higher resolution raises peak VRAM sharply; the Q4 GGUF figure is for the default 81-frame clip.

ComfyUIDiffusers

Which devices can run Wan 2.1 T2V 14B?

FAQ

How much VRAM does Wan 2.1 T2V 14B need?

At Q4 GGUF the realistic peak is ~12 GB, versus ~40 GB with every component resident. With aggressive CPU offload it drops to ~8 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 2.1 T2V 14B commercially?

Yes. Wan 2.1 T2V 14B is licensed Apache-2.0, which permits commercial use.

Full-size Wan 2.1 (14B DiT, stable at 720p). Backbone bf16 is ~28.6GB; the umT5-XXL encoder is offloaded to CPU. GGUF Q4_K_M (10.1GB) + T5 on CPU runs at ~10-12GB peak; full bf16 no-offload needs ~40GB. Apache-2.0, commercial OK. Anchor is the GGUF Q4 path (synthesis). Sources: Wan-AI card, city96 14B GGUF, diffusers Wan docs.

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.