Wan2.1▌
Wan2.1 is an open suite of video foundation models that excels in video generation tasks including Text-to-Video, Image-to-Video, and Video Editing. It is designed to perform efficiently on consumer-grade GPUs while delivering state-of-the-art performance.
Details
- organization
- Wan-Video
- license
- Apache-2.0
- Hugging Face
- https://huggingface.co/Wan-AI/Wan2.1
Tags
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About this listing
Wan2.1 is in the explainx.ai LLM directory. Wan2.1 is an open suite of video foundation models that excels in video generation tasks including Text-to-Video, Image-to-Video, and Video Editing. It is designed to perform efficiently on consumer-grade GPUs while delivering state-of-the-art performance.. It is labeled open-weights / public artifacts, with publisher field Wan-Video and license Apache-2.0. Structured FAQs below clarify source, weights, and benchmark data. Canonical URL: /llms/wan2-1.
FAQ
- What is Wan2.1?
- Wan2.1 — Wan2.1 is an open suite of video foundation models that excels in video generation tasks including Text-to-Video, Image-to-Video, and Video Editing. It is designed to perform efficiently on consumer-grade GPUs while delivering state-of-the-art performance. It appears in the explainx.ai LLM marketplace as a discoverability aid. Reported specs on explainx.ai include type: generative-media; scale: 14B. Links and license data should be verified with the publisher before production use.
- Who created or publishes Wan2.1?
- On this listing, the organization or lab field is “Wan-Video” (sourced from the directory import or editor). That usually matches the publisher; confirm on the official model card or vendor site.
- Is Wan2.1 open source or closed source?
- The listing is categorized as open-weights or publicly downloadable where the publisher allows it; the recorded license is “Apache-2.0”. Closed or gated releases can still appear on Hugging Face—always read the license on the publisher’s page.
- Where can I download weights or find model files for Wan2.1?
- A weights or artifact URL is linked on this profile (https://huggingface.co/Wan-AI/Wan2.1-T2V-14B). Always confirm license and terms on the publisher’s site before downloading or deploying.
- What do Arena leaderboard numbers mean for Wan2.1?
- This profile does not include Arena benchmark rows yet. You can still use organization, license, and outbound links to evaluate the model.
- Is explainx.ai the publisher of this model?
- No. explainx.ai hosts directory listings for discovery. The publisher is the organization or project behind the linked Hugging Face repo, API, or website. Pricing, safety, and terms are always set by that publisher.
- How does this page help AI search visibility?
- Structured FAQs, FAQPage JSON-LD, breadcrumbs, and answer-first copy follow SEO and GEO (Generative Engine Optimization) practices so search engines and citation-style assistants can summarize this listing accurately.
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Readme
Wan: Open and Advanced Large-Scale Video Generative Models
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.
Listing on explainx.ai. Information may change; verify with the publisher.