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Model infoModelsSnapshot: 15 Oct 2026

Amazon / Titan Image Generator G1

Titan Image Generator G1 v1

Amazon image generation and editing model with text-to-image generation, inpainting, outpainting and image variations. This record preserves its original version-specific capabilities and historical pricing.

historicalClosed weightsImage generationImage editing
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
17 of 28 specification fields collected
Output resolution25 optionsSee specification notes below
Text input limit512512
Input billingSee ratesAmazon Bedrock (historical model)
Output billingSee ratesPublished units and conditions below

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Maximum input tokens
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Maximum output
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Reasoning
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Tool calling
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Structured output
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Streaming
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Batch processing
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Fine-tuning
SupportedSource for Fine-tuning (opens in a new tab)

Historical capability; does not establish new training eligibility after lifecycle changes.

Context caching
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Parameters
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Knowledge cutoff
Not collected

Version-specific evidence not collected; no values inherited from Nova.

Maximum prompt characters
512Source for Maximum prompt characters (opens in a new tab)

Text and negative prompts use character limits; these are not text-token context windows.

Output formats
Base64-encoded image strings in the JSON responseSource for Output formats (opens in a new tab)

Do not confuse the response body’s transport stream with incremental image-generation streaming.

Images per request
5Source for Images per request (opens in a new tab)

numberOfImages ranges from 1 to 5 and defaults to 1.

Image input limits
Variation accepts 1–5 reference images; inpainting/outpainting inputs and masks have a 1,408-pixel longer-side limit.Source for Image input limits (opens in a new tab)
Output resolutions
View all 25 entries
  • 1024 × 1024
  • 768 × 768
  • 512 × 512
  • 768 × 1152
  • 384 × 576
  • 1152 × 768
  • 576 × 384
  • 768 × 1280
  • 384 × 640
  • 1280 × 768
  • 640 × 384
  • 896 × 1152
  • 448 × 576
  • 1152 × 896
  • 576 × 448
  • 768 × 1408
  • 384 × 704
  • 1408 × 768
  • 704 × 384
  • 640 × 1408
  • 320 × 704
  • 1408 × 640
  • 704 × 320
  • 1152 × 640
  • 1173 × 640
Source for Output resolutions (opens in a new tab)

Explicit width/height pairs from the parameter table. It also states 1,408 × 1,408 defaults but does not enumerate that pair; the inconsistency is preserved, not treated as arbitrary-dimension support.

Generation controls
Standard or premium quality; cfgScale 1.1–10 (default 8); seed 0–2,147,483,646 (default 42); variation similarityStrength 0.2–1.0 (default 0.7).Source for Generation controls (opens in a new tab)
Image and motion controls
Text-to-image; inpainting/outpainting using a text-described or binary image mask; image variations; reference-based style customization.Source for Image and motion controls (opens in a new tab)
Quality and watermark controls
Invisible watermark in generated images, with a separate watermark detection API.Source for Quality and watermark controls (opens in a new tab)
Release date
2023-11-29Source for Release date (opens in a new tab)

Original preview launch; general availability followed in April 2024.

Endpoint availability
Historical original version. Its current standalone deployment availability and exact shutdown date were not verified; absence from today’s model-card index is not sufficient to invent a retirement date.Source for Endpoint availability (opens in a new tab)
Customization options
Historical fine-tuning workflow accepts 5–10,000 image-caption pairs in JSONL, with images stored in S3; custom-model inference uses provisioned throughput.Source for Customization options (opens in a new tab)

March 2024 v1 workflow. This does not promise current training access or automatically apply these limits to v2.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

Amazon Bedrock (historical model)

Provider source (opens in a new tab)
API model ID
amazon.titan-image-generator-v1

Documented historical selector; this is not a guarantee of current callable access.

Access
Historical original version. Its current standalone deployment availability and exact shutdown date were not verified; absence from today’s model-card index is not sufficient to invent a retirement date.
Regions
Original launch: us-east-1 (N. Virginia) and us-west-2 (Oregon). Historical coverage, not a guarantee of current access.

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 14 Oct 2026
CategoryUsageRateUnit
Historical pricingStandard image · Smaller than 512 x 5121$0.008image
Historical pricingPremium image · Smaller than 512 x 5121$0.01image
Historical pricingStandard image · Larger than 512 x 5121$0.01image
Historical pricingPremium image · Larger than 512 x 5121$0.012image
Historical pricingBase model throughput · 1-month commitment2$16.20model-unit hour
Historical pricingBase model throughput · 6-month commitment2$13.00model-unit hour
Historical pricingCustom model throughput · no commitment2$23.40model-unit hour
Historical pricingCustom model throughput · 1-month commitment2$21.00model-unit hour
Historical pricingCustom model throughput · 6-month commitment2$16.85model-unit hour

Rate conditions

  1. US East (N. Virginia) selection; published AWS price map 2026-10-14T03:30:16Z. Retained meter for a historical model, not confirmation of service availability. Literal pricing-template bucket label. Boundaries conflict with the image guide and resolution-equivalent table; see source conditions before using a particular size. No availability implied.
  2. US East (N. Virginia) selection; published AWS price map 2026-10-14T03:30:16Z. Retained meter for a historical model, not confirmation of service availability. Separate provisioned-throughput model-unit charge, not a per-image price. Historical eligibility and any private continuation contract must be checked separately.
Pricing source (opens in a new tab)

Data & enterprise terms

Refer to the Bedrock data policy. No inference or customization request was made in this review.

Read the service policy (opens in a new tab)

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Amazon Bedrock (historical model)

amazon.titan-image-generator-v1
Not verified

No Titan-version-specific prompt-cache contract verified. Nova caching rules are not inherited.

How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 14 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Amazon identifies Titan as its own foundation model family delivered through Amazon Bedrock. The reviewed original product and API documentation offer managed inference/customization, not downloadable original model weights.

Classification evidence (opens in a new tab)

Lifecycle dates

General availability and watermark detection announced23 Apr 2024Source (opens in a new tab)

Sources reviewed