Who should use Wan2.1 VACE Fast?

Wan2.1 VACE Fast is a consumer product built for video creators.

Does Wan2.1 VACE Fast have a free plan?

Yes — Wan2.1 VACE Fast is free to use.

What platforms does Wan2.1 VACE Fast run on?

Wan2.1 VACE Fast runs on the web. It can also be self-hosted.

Is Wan2.1 VACE Fast still active?

Unverified. Wan2.1 VACE Fast has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What are alternatives to Wan2.1 VACE Fast?

Similar projects tracked by PulseGate include Wan2.1 VACE1.3B, Wan2.1 Fast, and Wan2.1 Fast.

Who makes Wan2.1 VACE Fast?

Wan2.1 VACE Fast is developed by linoyts.

When did Wan2.1 VACE Fast launch?

Wan2.1 VACE Fast first shipped in 2023.

Back to the index

Wan2.1 VACE Fast

Name: Wan2.1 VACE Fast
Author: linoyts

huggingface.coImage to video

Wan2.1 VACE Fast is a web tool that generates videos from user-uploaded images, offering modes like Reference, First-Last Frame, and Random Transitions. Users can set prompts and adjust video settings, making it suitable for video creators seeking automated video generation.

FreeWebSelf-hostedCloud-managed

Visit huggingface.co

Overview

5 features

In the Image to video space, Wan2.1 VACE Fast takes a focused approach. It focuses on creating videos from static images with customizable transitions and prompts. Wan2.1 VACE Fast is a consumer product aimed at video creators. It is available for free. It ships for the web, and it can be self-hosted.

Behind Wan2.1 VACE Fast is linoyts, and it first shipped in 2023. Key capabilities include image-to-video, reference mode, and frame transitions.

Summary written by a language model from the project’s public pages.

Image-to-video
Reference mode
Frame transitions
Prompt input
Duration adjustment

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 21:52 UTC
linoyts/wan2-1-VACE-fast verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about Wan2.1 VACE Fast

What does Wan2.1 VACE Fast do?: Wan2.1 VACE Fast focuses on creating videos from static images with customizable transitions and prompts. It is catalogued under Image to video on PulseGate.
Who should use Wan2.1 VACE Fast?: Wan2.1 VACE Fast is a consumer product built for video creators.
Does Wan2.1 VACE Fast have a free plan?: Yes — Wan2.1 VACE Fast is free to use.
What platforms does Wan2.1 VACE Fast run on?: Wan2.1 VACE Fast runs on the web. It can also be self-hosted.
Is Wan2.1 VACE Fast still active?: Unverified. Wan2.1 VACE Fast has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to Wan2.1 VACE Fast?: Similar projects tracked by PulseGate include Wan2.1 VACE1.3B, Wan2.1 Fast, and Wan2.1 Fast.Wan2.1 VACE1.3B Wan2.1 Fast Wan2.1 Fast
Who makes Wan2.1 VACE Fast?: Wan2.1 VACE Fast is developed by linoyts.
When did Wan2.1 VACE Fast launch?: Wan2.1 VACE Fast first shipped in 2023.

At a glance

Platforms: Web
Languages: English
Built for: video creators
Model: B2C
Solves: Creating videos from static images with customizable transitions and prompts.

Registered as

Hugging Face Spaces: linoyts/wan2-1-VACE-fast

Developer

linoyts

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: linoyts-wan2-1-vace-fast-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/linoyts/wan2-1-VACE-fast

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do