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
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.
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.
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.
Titan Text Embeddings V2
LLM optimized for high accuracy and retrieval performance at smaller dimensions for reduced storage and latency.
Max tokens: 8K
Languages: 100+ in pre-training
Fine tuning supported: No
Normalization supported: yes
Embeddings: 256, 512, 1024
Supported use cases: Semantic similarity search to find documents (e.g., detecting plagiarism), classify labels into data-based learned representations (e.g., categorizing movies into genres), and improve quality and relevance of retrieved or generated search results.
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.
Titan Image Generator
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, and image variations.
Read the blog
Watch Titan Image Generator demo
Videos
Videos
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.
Text to image
Generate high-quality, realistic images using natural-language prompts.
Prompt: “green iguana”
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”
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
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
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
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
Variations
Create multiple variants of an image, guided by an optional text prompt.
Prompt: “a green iguana in a rainforest”