Homie brings multi-view consistency to AI video

// 1h agoOPENSOURCE RELEASE

Homie brings multi-view consistency to AI video

Homie is an open-source reference-to-video framework designed to solve subject and object identity drift in AI video generation. By leveraging multi-view image inputs alongside multimodal intelligent guidance, Homie maintains consistent visual features and realistic physical interactions between subjects and objects across generated video frames.

// ANALYSIS

Maintaining character and object consistency across frames is a major hurdle in AI video creation, and Homie's multi-view approach directly targets this identity drift. By integrating multimodal semantic guidance into attention layers, Homie delivers a powerful open-source solution for controllable video synthesis.

• Employs multi-view image references to preserve subject identity and object fine details throughout video generations.

• Utilizes multimodal feature injection to sustain precise human-object interaction dynamics.

• Provides an accessible open-source framework for developers and researchers building consistent video pipelines.

// TAGS

homievideo-genopen-sourceai-videoreference-to-videomulti-view-consistency

DISCOVERED

1h ago

2026-07-26

PUBLISHED

1h ago

2026-07-26

RELEVANCE

7/ 10

AUTHOR

AI Search

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