Amazon Titan

High-performing foundation models from Amazon

Benefits

High-performing image, multimodal, and text models to power a broad range of generative AI applications, such as content creation, image generation, and search and recommendation experiences.
Enhance search accuracy and improve personalized recommendations.
All Amazon Titan FMs offer built-in support for the responsible use of AI by detecting and removing harmful content from the data, rejecting inappropriate user inputs, and filtering model outputs.
Fine-tune Amazon Titan models with your own data to customize the model and perform organization-specific tasks.

Meet Amazon Titan

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates Amazon’s 25 years of experience innovating with AI and machine learning across its business. Amazon Titan foundation models (FMs) provide customers with a breadth of high-performing image, multimodal, and text model choices, via a fully managed API. Amazon Titan models are created by AWS and pretrained on large datasets, making them powerful, general-purpose models built to support a variety of use cases, while also supporting the responsible use of AI. Use them as is or privately customize them with your own data.

Use cases

Use Titan Text models to improve productivity and efficiency for an extensive range of text-related tasks, such as creating copy for blog posts and web pages, classifying articles into categories, open-ended Q&A, conversational chat, information extraction, and more.

Use Titan Text models to get concise summaries of long documents such as articles, reports, research papers, technical documentation, and more to quickly and effectively extract important information.

Use Titan Multimodal Embeddings and Titan Text Embeddings to power more accurate and contextually relevant multimodal search, recommendation, and personalization experiences for end users.

Enable content creators with rapid ideation and iteration resulting in high efficiency image generation. Customers in industries like advertising, e-commerce, and media and entertainment can generate realistic, studio-quality images in large volumes and at low cost, using natural language prompts.

Deliver more up-to-date and accurate results for user queries by connecting FMs to your data sources. Extend the already powerful capabilities of Titan models and make them more knowledgeable about your specific domain and organization.

Model versions

Titan Text Express

LLM offering a balance of price and performance.

Max tokens: 8K

Languages: English (GA), 100+ languages available (Preview)

Fine-tuning supported: Yes

Supported use cases: Retrieval augmented generation, open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, chain of thought, rewrite, extraction, Q&A,
and chat.

Watch demo video

Watch re:Invent session

Titan Text Lite

Cost-effective and highly customizable LLM. Right-sized for specific use cases, ideal for text generation tasks and fine-tuning.

Max tokens: 4K

Languages: English

Fine-tuning supported: Yes

Supported use cases: Summarization and copywriting.

Watch demo video

Watch re:Invent session

Titan Text Embeddings

LLM that translates text into numerical representations.

Max tokens: 8K

Languages: 25+ languages

Fine-tuning supported: No

Embeddings: 1,536

Supported use cases: Text retrieval, semantic similarity, and clustering.

Read the blog

Titan Multimodal Embeddings

Powers accurate multimodal search and recommendation experiences.

Max tokens: 128

Max images size: 25 MB

Languages: English

Fine-tuning supported: Yes

Embeddings: 1,024 (default), 384, 256

Supported use cases: Search, recommendation, personalization

Titan Image Generator (preview)

Generate realistic, studio-quality images using text prompts.

Max tokens: 77

Max input image size: 25 MB

Languages: English

Fine-tuning supported: Yes

Supported use cases: Text to image generation, image editing,
image variations

Read the blog

Watch demo video

Watch re:Invent session

Videos

Amazon Titan Image Generator Demo - Image Playground (5:53)
AWS re:Invent 2023 - Explore image generation and search with FMs on Amazon Bedrock (59:23)
Amazon Titan Text Demo (8:34)
AWS re:Invent 2023 - Explore Amazon Titan for language tasks (39:00)

Videos

Amazon Titan Text Demo (8:34)
Amazon Titan Image Generator Demo - Image Playground (5:53)
AWS re:Invent 2023 - Explore Amazon Titan for language tasks (39:00)
AWS re:Invent 2023 - Explore image generation and search with FMs on Amazon Bedrock (59:23)

Amazon Titan Image Generator features

Amazon Titan Image Generator enables content creators with rapid ideation and iteration resulting in high efficiency image generation. You can edit your generated or existing images using text prompts, configure image dimensions, or specify the number of image variations you want the model to generate. You can also securely customize this model using your company data to produce images consistent with your brand style.

green iguana

Text to image

Generate high-quality, realistic images using natural-language prompts.

Prompt: “green iguana”

iguana as a cartoon, iguana as a sketch

Customization

Securely customize this model using company data to produce images consistent with your brand style. For example, adapt the realistic iguana into a cartoon or a sketch.

Prompt: “iguana as a cartoon”

Prompt: “iguana as a sketch”

iguana in a rain forest

Automatic editing

Edit an existing or generated image with a text prompt. No image mask needed.

Input: Image + “iguana in a rain forest” as a prompt

toucan

Inpainting

Edit parts of an image to remove or replace certain objects with a mask area you define.

Input: Image + a mask area of the iguana + “toucan” as a prompt

iguana at the beach

Outpainting

Replace an existing background to generate lifestyle images with a mask area you define.

Input: Image + a mask area of the background + “beach” as a prompt

iguana longer tail

Generative Re-sizing

Extend an image’s borders with additional details while retaining the main subject of the image. For example, extend the tail of the iguana.

Input: Image + a mask area with the new borders + “iguana tail” as a prompt

Image playground screenshot

Variations

Create multiple variants of an image, guided by an optional text prompt.

Prompt: “a green iguana in a rainforest”