Wan2.1

Wan2.1

Alibaba
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+

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About

HunyuanCustom is a multi-modal customized video generation framework that emphasizes subject consistency while supporting image, audio, video, and text conditions. Built upon HunyuanVideo, it introduces a text-image fusion module based on LLaVA for enhanced multi-modal understanding, along with an image ID enhancement module that leverages temporal concatenation to reinforce identity features across frames. To enable audio- and video-conditioned generation, it further proposes modality-specific condition injection mechanisms, an AudioNet module that achieves hierarchical alignment via spatial cross-attention, and a video-driven injection module that integrates latent-compressed conditional video through a patchify-based feature-alignment network. Extensive experiments on single- and multi-subject scenarios demonstrate that HunyuanCustom significantly outperforms state-of-the-art open and closed source methods in terms of ID consistency, realism, and text-video alignment.

About

Wan2.1 is an open-source suite of advanced video foundation models designed to push the boundaries of video generation. This cutting-edge model excels in various tasks, including Text-to-Video, Image-to-Video, Video Editing, and Text-to-Image, offering state-of-the-art performance across multiple benchmarks. Wan2.1 is compatible with consumer-grade GPUs, making it accessible to a broader audience, and supports multiple languages, including both Chinese and English for text generation. The model's powerful video VAE (Variational Autoencoder) ensures high efficiency and excellent temporal information preservation, making it ideal for generating high-quality video content. Its applications span across entertainment, marketing, and more.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Digital content creators and filmmakers wanting a solution to generate personalized, subject-consistent videos using multi-modal inputs

Audience

AI researchers, content creators, and developers looking to integrate high-performance, scalable video generation tools into their projects, with applications across entertainment, marketing, and multimedia

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 4.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Tencent
Founded: 1998
China
hunyuancustom.github.io

Company Information

Alibaba
Founded: 1999
China
wan.video

Alternatives

HunyuanVideo-Avatar

HunyuanVideo-Avatar

Tencent-Hunyuan

Alternatives

Focal

Focal

Focal ML
HunyuanOCR

HunyuanOCR

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Flow

Flow

Google
Qwen3-VL

Qwen3-VL

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VideoPoet

VideoPoet

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VideoPoet

VideoPoet

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Gen-4.5

Gen-4.5

Runway

Categories

Categories

Integrations

Auralume AI
CUDA
Everlyn
Hugging Face
Hunyuan T1
HunyuanVideo
Promptus
SiliconFlow
VidFlux AI
WaveSpeedAI
YouArt

Integrations

Auralume AI
CUDA
Everlyn
Hugging Face
Hunyuan T1
HunyuanVideo
Promptus
SiliconFlow
VidFlux AI
WaveSpeedAI
YouArt
Claim HunyuanCustom and update features and information
Claim HunyuanCustom and update features and information
Claim Wan2.1 and update features and information
Claim Wan2.1 and update features and information