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Xverse
XVerse is an innovative method for multi-subject image synthesis that enables precise and independent control of individual subjects without disrupting the underlying features of the overall image.
Downloads 145
Release Time : 6/26/2025
Model Overview
XVerse achieves consistent control of multi-subject identities and semantic attributes through DiT modulation, enabling high-fidelity and editable image generation, effectively controlling individual subject features and semantic attributes, and significantly enhancing the ability to generate personalized and complex scenes.
Model Features
Multi-subject independent control
Enables precise and independent control of individual subjects without interfering with the underlying features of the overall image.
High-fidelity image generation
Achieves high-fidelity and editable image generation by converting reference images into offsets modulated by tag-specific text streams.
Semantic attribute control
Can robustly control the features (identities) of individual subjects and their semantic attributes (such as pose, style, lighting, etc.).
Model Capabilities
Multi-subject image synthesis
Identity feature control
Semantic attribute control
High-fidelity image generation
Personalized scene generation
Use Cases
Personalized image generation
Multi-subject personalized synthesis
Generate images of multiple subjects with different identities and attributes in complex scenes.
The generated multi-subject images maintain their respective identity features and semantic attributes while the overall image is harmonious.
Creative design
Stylized image generation
Generate stylized images by controlling the style attributes (such as cartoon, realistic, etc.) of individual subjects.
Different subjects in the generated images can have different style attributes.
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