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Leading Luminar Generative AI Technology

Practical Generative AI Technology (GenTech)

SoftwareFolder | Leading Luminar Generative AI Technology

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SoftwareFolder | Leading Luminar Generative AI Technology

Photography & GenTech Examples:

SoftwareFolder | Leading Luminar Generative AI Technology
GenSwap example
SoftwareFolder | Leading Luminar Generative AI Technology
GenExpand example
SoftwareFolder | Leading Luminar Generative AI Technology
GenErase example

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Generative AI Technology

Discover How Generative AI Technology Can Enhance Creative Photography and Content Eye-Candy.

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Generative AI refers to artificial intelligence models that create new, original content by learning patterns and relationships from existing data. These models can generate images,  often with remarkable quality and creativity.

Now, while generative AI is a rapidly growing field, with new techniques and applications emerging all the time. Luminar Neo is a popular image – editor that uses generative AI technology for its advanced user extensions. Such as GenErase, GenSwap and GenExpand:


Generative AI Image Editing Tools


This technology enables photographers to modify the composition of an image by substituting or exchanging objects, or effortlessly incorporating new details generated by AI in response to the user’s instructions (prompt). 

GenSwap also offers the capability to enhance images by introducing elements like trees, animals, and other elements, thereby transforming ordinary photos into captivating visuals.


Easily break free from traditional aspect ratio constraints with this revolutionary tool that allows users to effortlessly extend the boundaries of their photos. GenExpand intelligently analyzes your image and expands its ratio while keeping your composition intact.

Capture your story-telling images with the confidence of knowing you have the flexibility of correcting compositions where cropped items are an issue, or in cases where you just need more breathing room…


Gene Erase is an advanced eraser tool that not only eliminates unwelcome distractions from your photos but also cleverly replaces those regions, creating a composition that is both focused and free of distractions. 

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Starting today ( January 19th ) you can access the complete GenTech suite of tools and explore the magic of AI technology for real case uses. 

Use GenTech extensions in cases where “Photoshop retouching” may have been called upon. And you can do this all without compromising the integrity of your photos. 

GenTech FAQ:

What is Generative AI?

Generative AI refers to artificial intelligence models that leverage existing data to acquire knowledge of patterns and correlations, empowering them to produce original and inventive content. 

These models possess the ability to generate various forms of media, encompassing text, images, music, videos, and more, often demonstrating exceptional quality and ingenuity. 

Noteworthy instances of generative AI applications include extensions provided by Luminar Neo, an image editor, language models such as ChatGPT, image and video generators like DALL-E, and voice synthesizers like WaveNet. 

The domain of generative AI is undergoing rapid expansion, with novel techniques and applications continually emerging.

Generative AI, specifically in the form of generative adversarial networks (GANs), can greatly assist with photo editing tasks. GANs consist of two components: a generator and a discriminator. The generator generates new content, such as images, while the discriminator tries to distinguish between real and generated content.
Here’s how GANs can help with photo editing:

  1. Image synthesis: GANs can generate new images based on existing ones. This can be useful in photo editing to create variations of an image or to generate missing parts. For example, GANs can be used to generate high-resolution images from low-resolution ones, or to create realistic textures or backgrounds.
  2. Style transfer: GANs can learn the style of one image and apply it to another. This allows for transferring the artistic style of a painting or photograph onto a different image. Style transfer can be used to create unique and visually appealing effects in photo editing.
  3. Image inpainting: GANs can fill in missing or damaged parts of an image. By training on a dataset of complete images, GANs can learn to generate plausible content to fill in the gaps. This can be useful for removing unwanted objects or distractions from photos, or for restoring old or damaged images.
  4. Image enhancement: GANs can be used to enhance the quality of images. By training on a dataset of high-quality images, GANs can learn to generate sharper and more visually appealing versions of low-quality or noisy images. This can be particularly useful in improving the quality of smartphone or low-light photographs.
  5. Image manipulation: GANs can enable interactive image editing by allowing users to manipulate specific attributes of an image. For example, GANs can be trained to modify the color, lighting, or other visual characteristics of an image while preserving its overall structure. This can provide users with powerful tools for creative photo editing.
    Overall, generative AI, particularly GANs, offers a range of capabilities that can greatly enhance the process of photo editing, enabling users to create unique and visually appealing images with greater ease and efficiency.

Using the LUMINAR NEO GENTECH OFFER button on this page, download Luminar Neo today or during any other free trial period or offer.