Inpaint
Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
AI-driven creative storytelling and image manipulation for the next generation of digital artists.
Macphun Kids, operating under the modern Skylum (formerly Macphun) ecosystem in 2026, represents a specialized AI-native creative suite tailored for educational environments and young creators. The technical architecture leverages the proprietary Engine 4.0, which utilizes neural networks for non-destructive image editing. Unlike its professional-grade counterpart, Luminar Neo, Macphun Kids focuses on 'AI-Assisted Creativity,' where the model suggests stylistic adjustments rather than purely performing task-oriented corrections. Its core capability includes 'GenAI Playground,' a sandboxed environment allowing users to explore generative fill and object swapping using safety-filtered models. In the 2026 market, it occupies a unique niche between toy-like creative apps and professional tools, providing a bridge for digital literacy. The software integrates deeply with school LMS platforms, offering a structured curriculum for learning prompt engineering and visual composition through AI. This transition from Macphun's legacy filters to Skylum's generative architecture allows for complex tasks like 3D depth re-lighting and semantic segmentation to be performed with single-slider simplicity, making high-end digital art accessible to minors while maintaining strict data privacy standards.
Uses a GAN-based architecture to replace image elements with curated, age-appropriate generative content.
Professional-grade object removal and photo restoration powered by advanced content-aware synthesis.
Professional-grade 4K image resolution enhancement powered by Generative AI super-resolution models.
Enterprise-grade image segmentation for instant high-precision visual asset isolation.
Professional AI-native photo editing with generative AI workflows for semantic image enhancement.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Applies content-aware detail enhancement without introducing noise or artifacts in skin or faces.
Calculates depth mapping from single 2D images to simulate f/1.8 aperture effects.
Automatically identifies and masks up to 12 distinct categories (sky, water, skin, etc.) for localized editing.
A single-slider neural network that manages exposure, contrast, color, and tone simultaneously.
Simulates 3D light sources to change the illumination of a 2D scene based on depth estimation.
Identifies light sources (lamps, sun) and enhances them with customisable glow/rays.
Students need to place themselves in historical settings without advanced Photoshop skills.
Registry Updated:2/7/2026
Photographs of school plays often contain distracting stage equipment or people.
Science fair photos taken in gymnasiums are often dark and grainy.