AI Research Atlas

Wan2.1 (T2V 1.3B and 14B, I2V 14B)

Alibaba (Qwen) · 25 February 2025

Alibaba open-sources a full video-generation suite under Apache 2.0; the 1.3B text-to-video model needs 8.19 GB VRAM, the 14B tops open rivals on company benchmarks.

Diffusion transformer with a new video VAE, trained on billions of images and videos; 14B scales with data and size per the report. Adds image-to-video, editing and bilingual (Chinese and English) on-screen text. First-last-frame (FLF2V) weights followed 2025-04-17.

Date
Tuesday, 25 February 2025
Lab
Alibaba (Qwen)
Kind
open-weights
Access
open weights

Figures

MeasureValueMeasured by
T2V-1.3B memory8.19 GB VRAM
5-second 480P clip on an RTX 4090 in about 4 minutes, unoptimized (company)
company
Technical reportarXiv 2503.20314
Submitted 2025-03-26; claims 14B beats open and commercial models on internal and external benchmarks (company)
company

README: 'released the inference code and weights of Wan2.1' on 2025-02-25. The 'first video model to generate Chinese and English text' line is Alibaba's claim. Benchmarks are company-run; no independent leaderboard was checked.

Sources

  1. github.com/Wan-Video/Wan2.1
  2. arxiv.org/abs/2503.20314
  3. huggingface.co/Wan-AI/Wan2.1-T2V-14B

This record was checked against its sources on 6 October 2026. How we check