Wan2.2 T2V-A14B is a 14-billion-parameter Mixture-of-Experts text-to-video diffusion model from W...
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Wan2.2 T2V-A14B is a 14-billion-parameter Mixture-of-Experts text-to-video diffusion model from Wan-AI. It generates 5-second video clips at 480P and 720P resolutions from text prompts, using a two-stage MoE design (high-noise and low-noise experts) that enlarges model capacity while keeping per-step compute roughly constant. The A14B variant was trained on significantly more data than Wan2.1 (65.6% more images and 83.2% more videos). This is the Diffusers-format checkpoint, intended for serving via vLLM-Omni's diffusion pipeline.
| Vendor | AMD |
| License | Apache-2.0, MIT |
| Source | https://github.com/amd-enterprise-ai/aim-build |
| Revision | caaa50a82741e6abefc121284f3d34229f3d826d |
| Built | 2026-10-05T12:01:31Z |
Content type
Image
Digest
sha256:0268d64d6…
Size
10.9 GB
Last updated
10 days ago
docker pull amdenterpriseai/aim-instinct-model-wan-ai-wan2-2-t2v-a14b-diffusers:2026.9.1