X-Portrait 2 Insights
What is X-Portrait 2?
X-Portrait 2 is a conditional diffusion model designed to create expressive and temporally coherent portrait animations from a single reference image, using motion data from driving videos. It enables dynamic animations with realistic movement and expression, tailored for applications in creative media, virtual avatars, and more.
Videos Made with X-Portrait 2
No related AI-generated videos found for X-Portrait 2 technology.
Frequently asked questions
-
X-Portrait is a conditional diffusion model designed to generate expressive and temporally coherent portrait animations from a single reference image.
-
X-Portrait leverages pre-trained diffusion models, such as Stable Diffusion 1.5, and employs ControlNet for fine-grained control over head poses and expressions.
-
It is used in creating dynamic and realistic animations for creative media, virtual avatars, gaming, and other applications requiring facial animations.
-
X-Portrait uses motion data from a driving video and interprets dynamics directly from the RGB inputs without relying on explicit controls like facial landmarks.
-
Yes, X-Portrait maintains the identity characteristics of the reference image while accurately transferring motion from the driving video.
-
Yes, the source code and pre-trained models are available on GitHub for further exploration and application.
-
The model is trained with scaling-augmented cross-identity images to ensure clear separation between appearance and motion features, preventing identity leakage.
-
You can learn more from the official GitHub repository and the research paper available on arXiv.