Kaiber

Features

Core Flows System

Kaiber's Core Flows System enables seamless hybrid workflows by integrating multiple AI models such as Flux, Luma, and Runway Gen 3. This modular pipeline allows users to combine specialized tools like image generation, video animation, and style transfer into customizable sequences. The DJ-like blending of creative processes within a single interface eliminates the need for app-switching. With Style Lock technology, users maintain brand consistency across various outputs, making it ideal for creators looking to streamline their production process without sacrificing quality.

Audioreactive Visual Synthesis

This feature brings audio tracks to life by generating visuals synchronized with musical beats and emotional tones. Using spectral analysis algorithms, it creates pulsating animations where colors intensify with bass drops and shapes morph with vocal cadences. Particularly valuable for music video production and immersive content experiences, this feature allows creators to produce captivating visual narratives that resonate with the rhythm and mood of their audio content.

ModelMaker Custom AI Training

Kaiber's ModelMaker empowers users to train custom LoRA models with just 25-40 image uploads, capturing unique artistic styles or character designs. This feature ensures creative signatures are preserved across generations through keyword-triggered outputs, enabling consistent brand visuals without manual post-processing. Users can activate up to three trained models simultaneously with adjustable influence sliders, making it a powerful tool for brand identity preservation and artistic development.

Infinite Canvas Workspace

The Infinite Canvas Workspace offers a zoomable 2D plane for spatial organization of media assets and AI processes. It supports drag-and-drop connections between generative nodes and output collections, visually mapping creative workflows. This feature allows for layered compositions with real-time previews and corner navigation, simplifying the management of complex animation timelines and enhancing the flexibility of creative projects.

Storyboard Narrative Engine

Kaiber's Storyboard Narrative Engine sequences up to 10 AI-generated scenes with adjustable transition logic and duration controls, precise to 300ms. By maintaining visual continuity through context-aware frame interpolation and style propagation, it is particularly effective for previsualizing short films and creating cohesive social media content series. This feature enhances storytelling by ensuring smooth transitions and consistent visual styles across scenes.

Intelligent Media Collections

This smart grouping system automatically tags generated assets with creation parameters and style attributes, allowing for efficient batch editing through neural search queries. For example, users can quickly find 'all cyberpunk scenes with 30% motion blur.' It maintains version histories for experimental iterations, facilitating easier collaboration among team members and enhancing workflow efficiency.

Video Restyle Transformations

Kaiber's Video Restyle Transformations apply over 12 curated aesthetic filters, such as Claymation and Retrofuturism, using neural style transfer optimized for temporal consistency. Processing 5-second clips in under 90 seconds, this feature maintains object permanence across frames, outperforming traditional frame-by-frame approaches. It's an invaluable tool for creators looking to apply unique styles to video content quickly and efficiently.

Image Lab Flow Generation

This feature blends text prompts with reference images through multi-element conditioning, offering dual output modes: Animated (24fps ready) and Realistic (4K upscalable). With face replication accuracy measured at 93% similarity in user tests, it provides precise control over subject, aesthetic, and layout, making it an essential tool for creators aiming for high-quality, versatile image outputs.

4K Resolution Upscaling

Kaiber enhances 1080p outputs to cinematic 4K using proprietary multi-frame super-resolution analysis. By compensating for AI-generated artifacts with texture synthesis algorithms trained on high-definition film datasets, it achieves 18% sharper details than baseline ESRGAN models. This feature is crucial for creators who demand high-definition quality in their visual content, ensuring their projects meet professional standards.