WaveSpeedAI APIGoogle Imagen3

Google Imagen3

Google Imagen3

Playground

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Google’s highest quality text-to-image model, capable of generating images with detail, rich lighting and beauty

Features

Imagen 3

Imagen 3 is DeepMind’s latest text-to-image generative model, focusing on high-quality image generation with improved detail, lighting, and reduced artifacts.

Core Capabilities

  • Enhanced prompt understanding for complex image generation tasks

  • Improved text rendering for applications like presentations and typography

  • Support for diverse artistic styles from photorealism to animation

  • Better handling of lighting, textures, and fine details

  • Natural language prompt processing without requiring complex prompt engineering

Technical Improvements

Image Quality

  • Enhanced color balance and vibrancy

  • Improved texture rendering

  • Better detail preservation in complex scenes

  • Reduced artifact generation

  • More accurate style reproduction across different artistic genres

Prompt Processing

  • Support for longer, more detailed prompts

  • Better understanding of camera angles and composition requirements

  • Improved handling of specific style requests

  • Enhanced text rendering capabilities

Benchmarks

Performance metrics based on human evaluation using GenAI-Bench:

  • Highest score for visual quality among compared models

  • High accuracy in prompt response adherence

  • Strong performance in overall preference benchmarks

Detailed benchmark methodology and results are available in Appendix D of the technical report.

Security Features

  • Built-in content filtering system

  • Dataset filtering to minimize harmful content

  • SynthID watermarking integration for image identification

  • Extensive red teaming and evaluations for: Fairness, Bias, Content safety

Technical Documentation

For detailed technical specifications and methodology, refer to the full technical report.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/google/imagen3" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "A serene landscape with mountains reflected in a crystal clear lake at sunset",
    "aspect_ratio": "1:1",
    "num_images": 1,
    "negative_prompt": "",
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for image generation.
aspect_ratiostringNo1:1-The aspect ratio of the generated image.
num_imagesintegerNo11 ~ 4The number of images to generate.
negative_promptstringNo-The negative prompt for image generation.
seedintegerNo--1 ~ 2147483647The random seed to use for the generation.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Query Parameters

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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