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Wan-Video
Wan2.1
Python2025–2025
Wan-Video / Wan2.1

Wan2.1

Wan: Open and Advanced Large-Scale Video Generative Models

5Distinct people
5Mentions
0Explicit recommenders
17.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Wan: Open and Advanced Large-Scale Video Generative Models

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week5 dated mentions

Observed mentions: 2025-02-25 14:37:07 UTC to 2025-05-14 14:13:47 UTC. Weeks start Monday, UTC.

012342025-02-24 00:00:00 UTC to 2025-03-03 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 commentsFeb 242025-03-03 00:00:00 UTC to 2025-03-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-10 00:00:00 UTC to 2025-03-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-17 00:00:00 UTC to 2025-03-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-24 00:00:00 UTC to 2025-03-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-31 00:00:00 UTC to 2025-04-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 312025-04-07 00:00:00 UTC to 2025-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-14 00:00:00 UTC to 2025-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-21 00:00:00 UTC to 2025-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-28 00:00:00 UTC to 2025-05-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-05 00:00:00 UTC to 2025-05-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-12 00:00:00 UTC to 2025-05-19 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsMay 12

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Feb 242025-02-24 00:00:00 UTC2025-03-03 00:00:00 UTC422
Mar 32025-03-03 00:00:00 UTC2025-03-10 00:00:00 UTC000
Mar 102025-03-10 00:00:00 UTC2025-03-17 00:00:00 UTC000
Mar 172025-03-17 00:00:00 UTC2025-03-24 00:00:00 UTC000
Mar 242025-03-24 00:00:00 UTC2025-03-31 00:00:00 UTC000
Mar 312025-03-31 00:00:00 UTC2025-04-07 00:00:00 UTC000
Apr 72025-04-07 00:00:00 UTC2025-04-14 00:00:00 UTC000
Apr 142025-04-14 00:00:00 UTC2025-04-21 00:00:00 UTC000
Apr 212025-04-21 00:00:00 UTC2025-04-28 00:00:00 UTC000
Apr 282025-04-28 00:00:00 UTC2025-05-05 00:00:00 UTC000
May 52025-05-05 00:00:00 UTC2025-05-12 00:00:00 UTC000
May 122025-05-12 00:00:00 UTC2025-05-19 00:00:00 UTC110

What Hacker News says

5 sources
HF:https://huggingface.co/Wan-AI/Wan2.1-T2V-14B Github:https://github.com/Wan-Video/Wan2.1 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 fiel
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d 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.
In Alibaba Open Source Large-Scale Video Generative Models: Wan2.1

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