Benefits
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
Model versions
Amazon Titan Text Premier
Amazon Titan Text Premier is a powerful and advanced large language model (LLM) within the Amazon Titan Text family, designed to deliver superior performance across a wide range of enterprise applications. This model is optimized for integration with Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases, making it an ideal option for building interactive generative AI applications that can use your APIs and interact with your data.
Max tokens: 32K
Languages: English
Fine-tuning supported: Yes (preview)
Supported use cases: Chat, chain of thought reasoning, open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, rewriting, extraction, and Q&A.
Amazon 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: Open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, chain of thought, rewriting, extraction, Q&A, and chat.
Amazon 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.
Amazon Titan Text Embeddings
Model that translates text into vector representations (embeddings).
Max tokens: 8K
Languages: 25+ languages
Fine-tuning supported: no
Embeddings: 1,536
Supported use cases: Text retrieval, semantic similarity, and clustering.
Amazon Titan Text Embeddings V2
Embeddings model optimized for high accuracy and retrieval performance at smaller dimensions for reduced storage and latency.
Max tokens: 8K
Languages: 100+ in pretraining
Fine-tuning supported: no
Normalization supported: yes
Embeddings: 256, 512, 1024
Supported use cases: Semantic similarity searching to find documents (for example, detecting plagiarism), classifying labels into data-based learned representations (for example, categorizing movies into genres), and improving quality and relevance of retrieved or generated search results.
Amazon 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, and personalization.
Amazon Titan Image Generator
Generate realistic, studio-quality images using text prompts.
Max characters: 512
Languages: English
Fine-tuning supported: yes
Supported use cases: Text-to-image generation, image editing, and image variations.
Read the blog
Watch Amazon Titan Image Generator demo
Amazon Titan Image Generator v2
Generate photorealistic images, with support for image conditioning, subject consistency, instant customization and background removal
Max characters: 512
Supported input/output image formats: PNG, JPEG
Languages: English
Fine-tuning supported: yes
Supported use-cases: Text-to-image generation, image editing, image variation, image conditioning using a reference image, subject consistency using fine tuning (preserve specific subjects in generated images), and automated background removal.
Videos
Videos
Amazon Titan Image Generator features
Amazon Titan Image Generator empowers content creators with rapid ideation and iteration for highly efficient image generation. Users can guide image creation using reference images, edit existing visuals, remove backgrounds, and generate image variations – all while securely customizing the model to maintain brand style and subject consistency. This powerful tool streamlines workflows, boosts productivity, and brings creative visions to life.
Amazon Titan Image Generator features
Use ControlNet with reference images to generate cohesive, captivating images that preserve key edges and regions.
Input text prompt: a deer in a fairy world, tiny huts on sides, snowy winter season, sun rising, cartoon style
Reference image:
Output image:
Automatically remove background from images containing multiple objects without any user input.
Input image:
Output image:
Effortlessly integrate your subjects in generated visuals by fine tuning the model
Input text prompt: Ron the dog on the moon
Reference image for model fine-tuning:
Ron the dog
Output image:
Generate favorite subjects in a new scene, transfer styles using reference images or mix styles using multiple reference images without fine tuning
Input text prompt: a dog wearing a baseball cap
Reference image:
Output image:
Preserve brand's visual identity by precisely controlling the color palette of your generated images - no fine-tuning required.
Input text prompt: a jar of salad dressing in a rustic kitchen surrounded by fresh vegetables with studio lighting
Input hex code: ['#ff8080', '#ffb280', '#ffe680', '#e5ff80']
Color-controlled output image:
How to get started
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