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Wan超快视频加速模型Self Forcing图生视频

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Description

项目:Wan2.1-T2V-1.3B-Self-Forcing-VACE 5秒视频仅仅需要48秒,

仙宫云注册:https://www.xiangongyun.com/register/9YM3YN

Pix工作室打开即用:https://www.xiangongyun.com/image/detail/de2afed6-3a25-4fcd-87f8-11f537a322d2


​​Wan2.1-T2V-1.3B-Self-Forcing-VACE​​ 是基于Wan2.1生态的13亿参数文生视频模型。其核心创新在于应用了​​Self-Forcing​​训练策略,有效弥合了自回归视频扩散模型在训练与推理(测试)时的分布差距,显著提升了生成视频的​​时间连贯性与质量​​。结合​​VACE模块​​,它支持更灵活的输入(如首尾帧图像)。​​优势在于高效、低延迟(支持实时生成)​​,能在消费级显卡上快速(仅需4-10步)生成高质量视频,速度远超同类模型,经过测试,5秒视频仅仅需要48秒!!!大大缩短了时间提高了视频的可玩性。

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Primitive Nodes (15)

JWInteger (1)

LoadWanVideoT5TextEncoder (1)

Primitive integer [Crystools] (2)

WanVideoBlockSwap (1)

WanVideoDecode (1)

WanVideoEnhanceAVideo (1)

WanVideoExperimentalArgs (1)

WanVideoModelLoader (1)

WanVideoSLG (1)

WanVideoSampler (1)

WanVideoTextEncode (1)

WanVideoVACEEncode (1)

WanVideoVACEStartToEndFrame (1)

WanVideoVAELoader (1)

Custom Nodes (7)

ComfyUI

  • - LoadImage (1)

ComfyUI Layer Style

  • - LayerUtility: ImageScaleByAspectRatio V2 (1)

  • - VHS_VideoCombine (2)

  • - ColorMatch (1)

  • - ImageConcanate (1)

  • - Text Multiline (1)

Checkpoints (0)

LoRAs (0)