Wan 2.2

Wan 2.2 creates short videos from a text-only prompt, or a prompt plus starting images for the first and/or last frames. Unlike LTX-2 or MiniMax H3, Wan cannot generate a soundtrack (but you can use LTX-2’s conditioning mode to add one).

License

Wan 2.2 (T2V-A14B, I2V-A14B and TI2V-5B), its text encoder and the Lightning LoRAs are released under Apache 2.0, which allows commercial use. None of the downloads is gated.

This is a summary, not legal advice. Read the full license on the model’s HuggingFace page before using a model commercially.

The Wan Models

Wan 2.2 ships three transformer variants, plus a shared text encoder and two VAEs. All share the same diffusion-style sampling but differ in size, conditioning, and intended task.

Variant	Task	Params	VAE	Conditioning
T2V-A14B	Text → Video	14B × 2 experts	A14B VAE (16-ch, 8× spatial)	Text only
I2V-A14B	Image+Text → Video	14B × 2 experts	A14B VAE (16-ch, 8× spatial)	Text + reference image (36-channel concat)
TI2V-5B	Text → Video OR Image+Text → Video	5B (single)	Wan 2.2-VAE (48-ch, 16× spatial)	Text, optionally with reference image (first-frame mask blend)

• T2V-A14B generates videos from a text prompt alone. Best motion coherence and prompt-following of the three.
• I2V-A14B locks the first frame to a reference image you supply, and also handles first-to-last interpolation and extension. Best subject-preservation.
• TI2V-5B is the small single-expert variant. It does both text-to-video and image-to-video at substantially lower VRAM, with somewhat less stable long-range coherence.

High-noise and low-noise transformers (A14B variants only)

The A14B models are a mixture-of-experts (MoE) pair — two 14B transformers per variant. The denoise loop swaps between them at a model-defined boundary timestep:

• High-noise expert runs early, when the latents are still mostly noise: composition, layout, broad motion.
• Low-noise expert runs late, when the latents are close to clean: detail and texture.

InvokeAI handles the swap automatically. In the Video panel, a single-file A14B main takes its partner through the Transformer (Low Noise) component slot; a Diffusers A14B main carries both experts internally. TI2V-5B is single-expert — no swap, no low-noise CFG, no second slot.

Lightning (the Wan fast path)

The stock A14B variants need ~40–50 denoise steps. The Lightning distillation LoRAs collapse that to 4 steps at CFG 1 with minimal quality loss — about a 10× speedup. There’s a pair per variant (one per expert); the panel’s Lightning toggle wires both automatically.

Tip

TI2V-5B has no Lightning LoRA. Its smaller size makes each step cheap; run it at 40–50 steps for a similar wall-clock to A14B + Lightning.

Installing Wan models

Two starter bundles:

• Wan 2.2 Text-to-Video (~36 GB) — UMT5-XXL text encoder, both VAEs, TI2V-5B Q4_K_M, T2V-A14B Q4_K_M (high + low), T2V Lightning (high + low).
• Wan 2.2 Image-to-Video (~32 GB) — UMT5-XXL, A14B VAE, I2V-A14B Q4_K_M (high + low), I2V Lightning (high + low).

The bundles are independent; installing both totals ~56 GB (shared components are deduplicated). Higher-quality Q8_0 quantizations and full Diffusers builds are available a-la-carte in the starter models list.

Tip

On a 12 GB VRAM card: install just the Text-to-Video bundle and use TI2V-5B — it covers both text-to-video and image-to-video and fits comfortably. The A14B variants will technically run via aggressive offloading but are slow and prone to OOM.