In a groundbreaking move, Amazon Web Services (AWS) announced the launch of the Amazon Titan Image Generator on Wednesday, entering the competitive arena alongside industry rivals Microsoft, Stable Diffusion, Midjourney and Adobe.
The new innovative tool allows users to not only generate new images from text descriptions but also modify of existing ones using text, providing content creators with a swift and precise means of refining images based on English language cues, according to the company.
At the AWS ‘re:Invent 2023’ conference, Swami Sivasubramanian, Vice President of Database, Analytics, and Machine Learning, showcased the generator’s capabilities.
Sivasubramanian emphasized its role in facilitating easy background swaps, transforming scenes seamlessly while maintaining the image’s primary focus and expanding creative possibilities.
The Titan Image Generator holds great promise for businesses in advertising, e-commerce, media and entertainment, offering the creation of high-volume, cost-effective, studio-quality images. The model demonstrates an understanding of complex instructions involving multiple elements, producing contextually relevant images.
Trained on diverse and high-quality data, the model aims for accuracy, generating realistic images while prioritizing inclusivity and minimizing distortions.
AWS highlights the customization potential of the Titan Image Generator, allowing companies to fine-tune the model with proprietary data to align with brand guidelines or create images in a specific style, such as retooling the model with previous marketing campaign images.
The Titan Image Generator also ensures responsible AI usage by mitigating the generation of harmful content.
All images generated by Amazon Titan come with an invisible watermark, a default feature aiding in discreetly identifying AI-generated images to curb the spread of misinformation.
AWS introduced two new Amazon Titan multimodal foundation models along with Amazon Titan Multimodal Embeddings, providing a range of high-performing options for image, multimodal, and text models through a fully managed API.
Additionally, AWS announced the integration of Anthropic’s Claude 2.1 foundation model (FM) in Amazon Bedrock, enhancing accuracy and reducing hallucination rates, especially in long documents and system prompts. A beta tool feature for function calling and workflow orchestration was also introduced.
Since its launch in June 2023, the AWS Generative AI Innovation Center has collaborated with numerous global customers, comprising strategists, data scientists, ML engineers, and solutions architects.
The team has played a crucial role in conceptualizing, prioritizing, and constructing tailored solutions leveraging generative AI.
AWS unveiled the AWS Generative AI Innovation Center Custom Model Programme for Anthropic Claude. Starting Q1 2024, customers can collaborate with researchers and ML scientists from the centre to securely fine-tune Anthropic Claude models using their proprietary data.
(With inputs from agencies)
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