In-depth analysis of Google Image: the next-generation AI image generation platform
Another breakthrough in AI vision innovation! Google Image (https://imagen.research.google/With its world-leading AI training models and high-quality text-to-image generation capabilities, it is gradually becoming the focus of attention for developers and content creators worldwide.This press release will provide a comprehensive overview of IMAGEN's background, main features, pricing structure, and application scenarios, and will also provide authoritative answers to frequently asked questions that developers are most concerned about.
Introduction to IMAGEN tools
According to Google's official introduction,IMAGEN is a high-fidelity imaging application developed by the Google DeepMind team in recent years with significant R&D resources.AI Image GenerationLarge model platformBased on a large-scale AI training model, it utilizes diffusion model technology to directly transform natural language text descriptions into high-resolution, richly detailed images, combining artistic expression with realism.(Click here to visit the official project page)。
Furthermore, IMAGEN can be embedded into the Google Cloud Vertex AI platform via API, supporting efficient design and development, automated visual content production, and enterprise digital applications.

IMAGEN's main functions
IMAGEN is not just an ordinary image generation AI tool; its "multimodal generation capability" has been highly recognized by global AI authorities.Key features include:
- Text-to-image generation:By inputting clear and descriptive text, you can generate beautiful images in different styles, such as realistic, artistic, and illustrative.
- Supports simultaneous generation of multiple images and custom resolution and aspect ratio.(e.g., 1:1, 16:9, etc.) to meet the diverse needs of social platforms, commerce, advertising, and other scenarios.
- Product-level photorealistic quality:IMAGEN achieves industry-leading levels in natural image and object detail reproduction, and supports advanced thematic refinement such as "portrait generation," "stylized logo," and "product photography."
- Powerful semantic understanding capabilities:AI training models can accurately map complex descriptions into rich visual elements, realizing creative concepts such as "spring lake scene in the style of an oil painting" and "4K HDR professional still life".
- Advanced image editing capabilities:The official API now supports inpaiIntelligent editing features include GIFT, local modifications, portrait additions, and local background replacements.
- Automatic watermarking and content security detection:With the support of SynthID and other technologies, the traceability and copyright compliance of AI-created content are guaranteed.(Safety Guideline Document)。
For more official feature information, please visit the Google Image Library:IMAGEN Features Overview。
Comparison of main features (table)
| Function | IMAGEN (Google) | DALL-E 3 (OpenAI) | Midjourney | Stable Diffusion |
|---|---|---|---|---|
| Generate quality | Top-tier in the industry, combining realism and artistic expression. | Extremely high quality, highly creative | Highly stylized | High (open source) |
| Chinese support | Partial support | There are, but they are limited. | Partial support | Open source and customizable |
| API & SDK | Official/cloud services are comprehensive | Official + Third-party | Community API | Fully open |
| Maximum number of images generated at one time | 4 | 4 | 4 | Unrestricted |
(See here for a comparison of more mainstream API features)

IMAGEN's pricing and plans
IMAGEN offers a flexible dual-mode billing system, combining pay-per-use and volume discounts, making it easy for developers to integrate and control costs.According to the official Google Cloud Vertex AI page in 2025 (Please refer to the detailed pricing policy.):
| Billing Items | Standard Price (USD) | Notes |
|---|---|---|
| Standard resolution image generation | $0.035/sheet | High resolution $ 0.07/sheet |
| Free quota | 无 | New users receive $300 cloud service points. |
| Simultaneous output of images (batch) | 1-4 sheets each time | According to API parameters |
| Image embedding | $0.0001/sheet | Multimodal content analysis |
| Image description/visual caption | $0.0015/sheet | AI-automated image labeling |
Enterprise users and those with bulk needs can contact the Google sales team for customized discounts and SLA guarantees.For more details, please see:Vertex AI pricing page。

How to use IMAGEN
IMAGEN supports developers to call it through various methods such as the Vertex AI Studio console, REST API, and Python/Node.js SDK, making deployment efficient and flexible.
Quick start steps (including code examples)
- Register a Google Cloud account and enable Vertex AI services(New User Entry)
- Obtain the API Key and configure the development environment(Activation process)
- Submit a generation request by calling the SDK/REST interface.
Python示例代码:
from google import genai
client = genai.Client()
response = client.models.generate_images(
model='imagen-4.0-generate-preview-06-06',
prompt='春天公园湖边的金发小女孩,印象派油画风格,4K分辨率',
config={'number_of_images': 2, 'aspect_ratio': '4:3'}
)
for img in response.generated_images:
img.image.show()

[Complete sample code and API documentation]
Official support is available for various environments including Node.js, REST, and Go. See details:API Reference Documentation。
In addition, Google also provided IMAGEN withColab Notebook Example及Online Prompt Tutorial。
IMAGEN's target audience
IMAGEN is designed for content creators, product managers, designers, developers, and enterprise users, and is widely used in multiple fields.
Typical users include:
- Advertising and Creative Design Company
- Media content production team (news, publishing, short videos, etc.)
- Game, animation and XR developers
- E-commerce, product display and product photography automation
- Education and knowledge visualization creation
- Individual artists and illustrators
In addition, IMAGEN is especially suitable for projects that have high requirements for "realistic imagery, artistic expression, and stylistic consistency".Examples include brand websites, rapid visual validation of interactive prototypes, and generation of personalized content for users.
IMAGEN Prompt Writing and Advanced Techniques
Precise and efficient prompts are key to obtaining ideal AI-generated images. IMAGEN supports ultra-long descriptions of up to 480 tokens and various prompts including adjectives, styles, photographic parameters, and artist references.

The following table shows tips for writing Prompts and their parameters:
| Prompt element | Example content |
|---|---|
| main body | “"A kitten by the lake at dawn"” |
| Style/genre | “"Van Gogh-style oil paintings", "Impressionism", "minimalist icons"” |
| Scene and background | “"City at dusk under the Rainbow Bridge," "White background, product centered."” |
| Photo parameters | “"4K, HDR, natural light, 35mm lens, close-up"” |
| Multilingual | For now, English is the primary language, but compatibility with Chinese is continuously improving. |
More Prompt applications and effect previews,Click here to access the official image gallery and tutorials.。
Advanced features and API extensions
IMAGEN not only supports standard image generation, but also...Advanced customization and professional editing,For example:
- Inpainting/Outpainting:Partial drawing, completion and expansion of the screen
- Style/Main Character Personalization Mini-Model Optimization(Fine-tuning)See the style customization guide for details.
- Automatic image captioning, AI content moderation
- Large-scale batch generation and cloud-based automated processing
List of functions and parameter options:
| Advanced parameters | illustrate |
|---|---|
| aspect_ratio | Supports five aspect ratios: "1:1", "4:3", "16:9", etc. |
| number of images | 1-4, Quickly achieve diverse solution outputs |
| person_generation | Limited to generating adult images / Allow all images |
| negative_prompt | Specify the elements to be excluded (e.g., logos without watermarks). |

Click here for detailed API parameter descriptions.
Comparison with mainstream AI image generation platforms
| Evaluation Dimensions | Google Image | OpenAI DALL-E 3 | Midjourney | Stability (SDXL) |
|---|---|---|---|---|
| Realism | ★★★★★ | ★★★★☆ | ★★★★☆ | ★★★★ |
| Artistic Expression | ★★★★★ | ★★★★★ | ★★★★★ | ★★★★ |
| API Integration with Enterprises | ★★★★★ | ★★★★ | ★★★ | ★★★★★ |
| price | 中 | 中 | High | 低 |
| Regional availability | Partially restricted | Restricted | better | Global Open |
Frequently Asked Questions
1. Does IMAGEN support Chinese Prompts?
at presentIMAGEN primarily supports generating English prompts, with some adaptation to Chinese prompts.However, basic functions and API responses are already available on the Chinese cloud platform. In actual testing, simple/common Chinese descriptions yielded satisfactory results; for highly accurate descriptions, English or bilingual descriptions are recommended.
[Link to API Language Support and Latest Developments]
2. Does IMAGEN's output include content moderation and watermarks?

Yes.All images generated by IMAGEN are embedded with a traceable SynthID digital watermark, and the platform has built-in content compliance and violation detection to prevent the generation of illegal/inappropriate content. Enterprise users can further customize their content moderation strategies through API parameters.
[Please see this document for watermark verification and security policies.]
3. What are the differences between IMAGEN, Gemini, DALL-E, and Midjourney?
- Gemini focuses on "multimodal dialogue" and is suitable for mutual understanding between text and images, while IMAGEN has a leading advantage in areas such as high-quality custom image generation and brand automation.
- DALL-E 3 emphasizes open-ended and complex Prompt interpretations.However, IMAGEN has a slight edge in terms of ultra-high resolution, photo-realistic reproduction, and enterprise-grade API stability.。
- Midjourney is known for its stylization and artistry, while IMAGEN's creative direction focuses more on realism/engineering and API integration.
Comparison of uses and suggestions:For advertising, product images, and commercial content, choose IMAGEN; for art and illustration, recommend Midjourney; for highly interactive content, consider Gemini.
4. Do images generated by IMAGEN have copyright?
IMAGEN generated contentOwned by the API callerGoogle promises not to redistribute user-generated content, but must comply with content security terms and compliance policies. Certain regions/sensitive content may be restricted; see details.Official Content Usage Policy。

5. How can I obtain free quotas or enterprise-specific support from IMAGEN?
New Google Cloud accounts automatically receive a $300 credit limit for $ cloud services, which can be used to try out AI APIs such as IMAGEN.Enterprise users with bulk integration needs can apply for exclusive discounts or targeted SLAs through the cloud marketplace.
[Click here to apply for a free trial]
In the new wave of intelligent visual contentIMAGEN is providing developers and businesses worldwide with unprecedentedly efficient innovation tools, leveraging Google's leading AI training models and robust API ecosystem.Whether you are a content creator, digital advertiser, developer, or AI product team, you might as well try IMAGEN and unleash your "visual imagination".
For detailed technical comparisons, API integration case studies, and best practices, please stay tuned.IMAGEN Official Homepage和Latest Google Cloud documentation。
data statistics
Data evaluation
This site's AI-powered navigation is provided by Miao.IMAGENAll external links originate from the internet, and their accuracy and completeness are not guaranteed. Furthermore, AI Miao Navigation does not have actual control over the content of these external links. As of 12:17 PM on August 6, 2025, the content on this webpage was compliant and legal. If any content on the webpage becomes illegal in the future, you can directly contact the website administrator for deletion. AI Miao Navigation assumes no responsibility.

