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Adobe unveils Firefly 2 Image Models with Vector Graphics

Adobe's Firefly Image 2 Model enhances generative AI, focusing on realism, consistency, and workflow efficiency in imaging and vector graphics.

By Claire E. Hartmann

Snímek obrazovky 2023-10-12 v 23.13.58
Image source: Adobe

Adobe unveils its next-gen Firefly Image 2 Model, marking a significant update in generative AI for imaging. Since its beta release, the model has collected over 3 billion images, reflecting its extensive use and application.

One of the notable features is the Generative Match, which applies the style of a chosen image to create new images at scale, facilitating a consistent look across different assets. This feature enhances brand uniformity efficiently.

Image source: Adobe
Image source: Adobe

The updated Photo Settings in the model focuses on producing more realistic images. Controls have been refined to allow for adjustments that mimic manual camera lens operations, improving human rendering aspects such as skin, eyes, and overall body structure.

Image source: Adobe
Image source: Adobe

Enhancements have also been made to the Text Prompt Capabilities, allowing the model to better understand and respond to text prompts by recognizing a wider variety of landmarks and cultural symbols. This improvement aims to inspire creativity and reduce the time required for image generation.

Image source: Adobe
Image source: Adobe

Sharing and saving processes have been improved for better collaboration and workflow integration, allowing users to easily share their work directly from Firefly. Adobe Creative Cloud Libraries' integration also facilitates smoother transitions between different Adobe applications.

Image Source: Adobe
Image Source: Adobe

Additionally, Adobe introduced the Firefly Vector Model, expanding its offerings to vector graphics. This model simplifies the creation of vector graphics from text prompts, providing more tools for creators.

Image source: Adobe
Image source: Adobe

The new Firefly models are a step forward in generative AI, focusing on improving creative control, quality, and operational efficiency in imaging and vector graphics.

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