Video Transformation


The Video2Video project by LaH Team represents a groundbreaking step in applying Generative AI to transform how we create and process videos. By combining cutting-edge technologies like ControlNet, Adapter, AnimateDiff, and finely tuned Stable Diffusion models, we’ve developed a powerful solution that transforms user videos into unique works of art with stunning special effects.


Key Features


Error: Invalid Youtube URL.



Style Transformation for Videos: Utilizing LoRA and visual references, each video is transformed into a completely new style while maintaining smooth and realistic motion in every frame.

  • Custom Artistic Effects: Users can apply special visual effects – from cartoon and artistic styles to cinematic finishes – entirely automated with resource-efficient technology.

  • Inspiring Content Creation: The ideal tool for content creators, marketing teams, and artists aiming to make their videos stand out.


During development, we encountered multiple challenges, ranging from optimizing LoRAs to ensure minimal resource consumption to maintaining artistic consistency that met client requirements. Among the most complex problems was character consistency, a notoriously difficult issue in Gen-AI image generation.

Maintaining character consistency is often a frustrating challenge in the field. While there are numerous repositories on GitHub addressing this problem, most fail to deliver reliable results beyond a handful of cases. Many solutions found online require extensive manual processing, making them impractical for automation. Transforming this into an automated workflow proved to be exceptionally difficult.

To overcome this, we developed a robust solution by combining multiple advanced techniques:

  • Faceswap: For maintaining facial fidelity and consistency across variations.

  • ControlNet and IPAdapter: Applied to handle specific elements within the image, ensuring coherence and customization across backgrounds, poses, and outfits.

  • Acceleration Technologies: Integrated to optimize resource utilization and reduce generation time.

This challenge was not only a technical puzzle but also one of the most demanding cases our team has ever tackled. Yet, through rigorous research, trial, and innovation, we achieved a seamless automated process, delivering consistent character representations without compromising quality.

How It Works


Project Highlights


Users simply upload their original video, and our technology analyzes the motion and content of each frame. Every detail is meticulously processed through the combination of ControlNet, Adapter, and AnimateDiff, ensuring consistency in effects and motion. The resulting video not only delivers aesthetic brilliance but also maintains a natural, seamless flow.

Our customers
Our customers
Our customers

Trusted By

Trusted By