Text-to-Image Generation
Generates images from natural language prompts without requiring rigid syntax or complex prompt engineering. Supports photorealistic output as well as diverse art styles including animation.
Google
Imagen 3
Imagen 3 is a text-to-image generation model developed by Google, available through fal.ai, that produces photorealistic images from natural language prompts. It supports a range of visual styles from photorealism to animation and maintains consistent visual composition across five aspect ratios. A notable technical characteristic is its ability to accurately render readable text, signage, and typography within generated images, which has historically been a challenge for image generation models. The model accepts conversational prompts without requiring specialized syntax, and a seed parameter enables reproducible outputs for iterative workflows. Imagen 3 is well suited for use cases that require high visual fidelity and reliable in-image text, including marketing asset creation, product visualization, and concept art development. It supports batch generation of up to four images per request and outputs across aspect ratios including 1:1, 16:9, 9:16, 3:4, and 4:3. The model was trained through late 2024 and accepts text, select, and seed as input types. A companion variant, Imagen 3 Fast, is available for workflows where generation speed takes priority over maximum image quality.
Unknown
10,000 context
N/A output
Text-to-Image Generation
In-Image Text Rendering
Aspect Ratio Selection
Seed-Based Reproducibility
Batch Image Generation
Natural Language Prompting
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Google
Input Context Window
The number of tokens supported by the input context window.
10,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Google, Vertex AI
Modalities
Types of data this model can process.
Image
Text
What is Imagen 3
A fuller summary of positioning, capabilities, and source-specific details for Imagen 3.
Imagen 3 is a text-to-image generation model developed by Google, available through fal.ai, that produces photorealistic images from natural language prompts. It supports a range of visual styles from photorealism to animation and maintains consistent visual composition across five aspect ratios. A notable technical characteristic is its ability to accurately render readable text, signage, and typography within generated images, which has historically been a challenge for image generation models. The model accepts conversational prompts without requiring specialized syntax, and a seed parameter enables reproducible outputs for iterative workflows.
Imagen 3 is well suited for use cases that require high visual fidelity and reliable in-image text, including marketing asset creation, product visualization, and concept art development. It supports batch generation of up to four images per request and outputs across aspect ratios including 1:1, 16:9, 9:16, 3:4, and 4:3. The model was trained through late 2024 and accepts text, select, and seed as input types. A companion variant, Imagen 3 Fast, is available for workflows where generation speed takes priority over maximum image quality.
Capabilities
What Imagen 3 supports
In-Image Text Rendering
Accurately renders readable text, signage, and typography within generated images, a capability that has historically been difficult for AI image generators.
Aspect Ratio Selection
Supports five output aspect ratios — 1:1, 16:9, 9:16, 3:4, and 4:3 — selectable via the input type at generation time.
Seed-Based Reproducibility
Accepts a seed parameter that allows exact regeneration of a previous output, supporting consistent brand asset creation and iterative refinement.
Batch Image Generation
Generates up to four images per request, enabling side-by-side creative exploration within a single API call.
Natural Language Prompting
Accepts conversational, plain-language text prompts with a context window of up to 10,000 tokens, making the model accessible without specialized prompt engineering knowledge.
Pricing for Imagen 3
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
Price Comparison
Additional usage-cost dimensions synced into the project for this model.
maxTemperature
1
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Google
Vertex AI
Configuration & Parameters
The configurable options currently documented for this model.
Aspect Ratio
SelectNegative Prompt
TextA blurb of text describing what you do not wish to see in the output image.
Seed
SeedA specific value that is used to guide the 'randomness' of the generation.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Imagen 3
Imagen 3 discussions are most active in r/Bard, r/singularity, r/OpenAI. Top Reddit threads cluster around benchmark and model-comparison threads. The strongest match in this snapshot has 1135 upvotes and 130 comments.
Chatgpt seems to be getting worse for generating people and always does piss filter.
Here the prompt specifically said leaning against car.
Casual 70s photo of Bruce Lee**
*"Bruce Lee in a relaxed moment, wearing sunglasses and a leather jacket, leaning against his yellow Porsche 911. Shot on grainy 35mm film with warm tones, soft focus, and slight light leaks. Golden hour, Kowloon streets in the background."*
**Style:** Vintage candid, *Life Magazine* vibe.
FAQ
Common questions about Imagen 3
What is the context window for Imagen 3?
Imagen 3 supports a context window of 10,000 tokens for text prompt input.
When was Imagen 3 trained?
According to the model metadata, Imagen 3's training data has a cutoff of late 2024.
What input types does Imagen 3 accept?
Imagen 3 accepts three input types: text (the natural language prompt), select (for choosing aspect ratio and other options), and seed (for reproducible outputs).
Is there a faster version of Imagen 3 available?
Yes. A companion variant called Imagen 3 Fast is available via fal.ai for workflows where generation speed is prioritized over maximum image quality.
What aspect ratios does Imagen 3 support?
Imagen 3 supports five aspect ratios: 1:1, 16:9, 9:16, 3:4, and 4:3.
How many images can Imagen 3 generate per request?
Imagen 3 supports batch generation of up to four images per request.
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