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Amazon unveils the latest version of its AI image generation model, Titan Image Generator v2, introducing a suite of features to provide users with greater control over creating and editing visual content.
Channy Yun, Principal Developer Advocate for Amazon Web Service (AWS) Cloud, published a blog post to announce the launch.
“With Amazon Titan Image Generator v2, you can guide image creation using reference images, edit existing visuals, remove backgrounds, generate image variations, and securely customize the model to maintain brand style and subject consistency,” Yun said. “This powerful tool streamlines workflows boosts productivity, and brings creative visions to life.”
What’s New
The standout features of Titan Image Generator v2 include image conditioning, color palette control, background removal, and subject consistency.
With image conditioning, users can provide a reference image alongside text prompts, allowing the model to generate images that closely match the desired layout and structure. Users may choose between two techniques: canny edge detection and segmentation. Both techniques preserve essential visual elements such as edges, contours, and objects, which help maintain consistency and allow customization.
Users may also choose to fine-tune the model over specific subjects—such as products or logos— so that they’re accurately and consistently depicted across multiple generated images.
The model now also allows users to specify hex color codes for their images with its color palette guidance. This feature ensures that generated visuals adhere to brand guidelines and maintain aesthetics across various outputs.
Additionally, you can now make use of the background remover for compositing an image onto any backdrop or context cleanly and quickly.
Concerns on Data and Creativity
With such features and advancements, one might wonder if the balance between innovation and tradition will be tested.
Amazon has previously stated that photographers won’t have to fear harm from Titan, asserting that its image generator is designed to supplement, rather than replace, the original content produced by photographers and digital artists.
“The Titan Image Generator would really be meant to augment what photographers are always doing because, and based on my observations and what I’ve seen at the enterprise level, is most people want new and original content, especially when they’re looking at photographing new events or new people. They’re going to still want photographers,” said Sherry Marcus, Director of Applied Science in the Generative AI Services Organization at AWS.
Meanwhile, concerns persist about the source of their training data for Titan Image Generator models, as AWS remains vague about it. The company has not disclosed any details but said it is mainly a “combination of proprietary and licensed data.”
This move depicts the competitive landscape in AI, where each tech company has to safeguard its training data from other brands. On the other hand, it may also be that AWS has been avoiding potential intellectual property lawsuits when a company reveals such information.
The Titan Image Generator v2 is now available through Amazon Bedrock via its console. Users can make use of the API, SDK, and CLI tools for streamlined image generation workflows. To obtain the latest models, specifically request access to the Amazon Titan Image Generator G1 v2.
