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imagen-4-fast

IMAGEN4

Use this fast version of Imagen 4 when speed and cost are more important than quality

Avg Run Time: 13.000s

Model Slug: imagen-4-fast

Playground

Input

Advanced Controls

Output

Example Result

Preview and download your result.

Preview
Each execution costs $0.0200. With $1 you can run this model about 50 times.

API & SDK

Create a Prediction

Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.

Get Prediction Result

Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.

Readme

Table of Contents
Overview
Technical Specifications
Key Considerations
Tips & Tricks
Capabilities
What Can I Use It For?
Things to Be Aware Of
Limitations

Overview

imagen-4-fast — Text-to-Image AI Model

imagen-4-fast delivers rapid photorealistic image generation from text prompts, prioritizing speed and low cost for developers and creators needing quick prototypes without sacrificing core quality. Developed by Google as part of the imagen4 family, this text-to-image AI model generates images in about 4 seconds at just 2 credits per output, making it ideal when Google text-to-image performance matters more than ultra-high fidelity. Unlike full-quality variants, imagen-4-fast optimizes for low-latency use cases like iterative prompt testing or high-volume text-to-image AI model workflows on platforms like Eachlabs.

Technical Specifications

What Sets imagen-4-fast Apart

imagen-4-fast stands out in the text-to-image landscape with its balance of photorealistic detail and blazing speed, generating 1024x1024 images in roughly 4 seconds—half the time of the standard Imagen 4 at a fraction of the cost. This enables developers seeking a Google text-to-image API to handle prototyping or batch tasks efficiently without premium pricing.

  • Ultra-low latency at ~4 seconds per image: Perfect for real-time testing of prompts in text-to-image AI model apps, where standard models take 8+ seconds, allowing 2x faster iteration cycles.
  • 1024x1024 resolution with flexible aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4): Supports common formats for social media or web previews directly, reducing post-processing needs compared to lower-res alternatives.
  • Photorealistic rendering of textures and fabrics at 2 credits: Excels in product visuals and lifestyle shots where fine details matter, outperforming slower models in cost-sensitive high-volume scenarios.

These specs make imagen-4-fast a go-to for fast text-to-image generation, distinct from higher-res but slower competitors.

Key Considerations

Prompt quality matters: Clear, detailed prompts lead to better results.

Not fact-grounded: Expect some inconsistencies in details and realism.

Style & text limits: Handles diverse styles and text better—but not perfectly.

Tips & Tricks

How to Use imagen-4-fast on Eachlabs

Access imagen-4-fast seamlessly on Eachlabs via the Playground for instant text-to-image testing, the API for scalable integrations, or SDK for custom apps—simply provide a descriptive prompt, select aspect ratio and resolution up to 1024x1024, and get photorealistic outputs in ~4 seconds with full commercial rights.

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Capabilities

Photorealism: Create lifelike images of people, animals, landscapes, and more—down to the finest detail.

Ultra-sharp details: Rich textures, vibrant colors, and stunning close-ups with natural depth and gradients.

Smarter text rendering: Better spelling, longer passages, and more sophisticated typography—ideal for comics, collectibles, and design work.

More styles, more control: From hyper-realistic to abstract, it handles a wide range of visual styles with improved accuracy.

Fast mode: Explore ideas at lightning speed—up to 10× faster than Google’s earlier models.

High-resolution output: Generate crisp, creative visuals at up to 2K resolution.

What Can I Use It For?

Use Cases for imagen-4-fast

Developers building text-to-image APIs can leverage imagen-4-fast for rapid prototyping, generating dozens of variants in minutes to refine app features before scaling to premium models. Input a prompt like "photorealistic close-up of a leather wallet on a wooden table with soft sunlight," and receive a high-fidelity 1024x1024 output in seconds for instant feedback.

Marketers creating Google text-to-image content for e-commerce benefit from its speed in producing lifestyle product images, such as swapping backgrounds on inventory photos without studio delays, ensuring quick campaign visuals at low cost.

Content creators testing prompts for social media use imagen-4-fast's low-latency edge to iterate on aspect ratios like 9:16 for stories, generating photorealistic portraits or scenes far faster than full-quality alternatives.

Designers in high-volume workflows appreciate its texture accuracy for fabric and material mocks, enabling fast approvals on previews before final renders.

Things to Be Aware Of

No customization tools: It doesn’t support style transfer, subject tuning, or few-shot personalization.

No image editing: Features like inpainting, outpainting, masking, or image upscaling are not available.

No negative prompting: You can’t exclude elements (e.g., “no text,” “no watermark”) via prompts.

Limitations

Lack of factual grounding: Imagen isn’t built for real-world accuracy. It can introduce artifacts in complex scenes, especially

with small faces, text, or thin structures.

Centering issues: Struggles with perfect alignment, such as placing a circle exactly in the center.

Unclear prompts: Nonsensical input (like random characters or emojis) can lead to unpredictable results.

Output Format: JPG,PNG

Pricing

Pricing Detail

This model runs at a cost of $0.020 per execution.

Pricing Type: Fixed

The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.