Model reference · open weights
Wan2.1-T2V is an open-weight video model from Wan-AI, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Wan2.1 💜 <a href=""<bWan</b</a    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.1"GitHub</a    |   🤗 <a href="https://huggingface.co/Wan-AI/"Hugging Face</a   |   🤖 <a href="https://modelscope.cn/organization/Wan-AI"ModelScope</a   |    📑 <a href=""Paper (Coming soon)</a    |    📑 <a href="https://wanxai.com"Blog</a    |   💬 <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB!!6000000000015-0-tps-611-1279.jpg"WeChat Group</a   |    📖 <a href="https://discord.gg/p5XbdQV7"Discord</a   Wan: Open and Advanced Large-Scale Video Generative Models <be In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features: - 👍 SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks. - 👍 Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models. - 👍 Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation. - 👍 Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications. - 👍 Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation. This repository hosts our T2V-1.3B model, a versatile solution for video generation that is compatible with nearly all consumer-grade GPUs. In this way, we hope that Wan2.1 can serve as an easy-to-use tool for more creative teams in video creation, providing a high-quali
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | Wan-AI |
|---|---|
| Type | Video models |
| Parameters (lead) | 1.4B |
| Variants | 2 |
| Runs with | diffusers |
| Released | 2025-03-01 |
| Popularity | 227k downloads / month |
| Likes | 1,554 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
Using it via the API
Once AxForge deploys wan2-1-t2v for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (wan2-1-t2v below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"wan2-1-t2v","prompt":"a drone shot over a forest"}'
Details
Languages
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
Explore