Google Imagen3 Fast
Playground
Try it on WavespeedAI!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
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Enhanced prompt understanding for complex image generation tasks
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Improved text rendering for applications like presentations and typography
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Support for diverse artistic styles from photorealism to animation
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Better handling of lighting, textures, and fine details
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Natural language prompt processing without requiring complex prompt engineering
Technical Improvements
Image Quality
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Enhanced color balance and vibrancy
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Improved texture rendering
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Better detail preservation in complex scenes
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Reduced artifact generation
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More accurate style reproduction across different artistic genres
Prompt Processing
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Support for longer, more detailed prompts
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Better understanding of camera angles and composition requirements
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Improved handling of specific style requests
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Enhanced text rendering capabilities
Benchmarks
Performance metrics based on human evaluation using GenAI-Bench:
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Highest score for visual quality among compared models
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High accuracy in prompt response adherence
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Strong performance in overall preference benchmarks
Detailed benchmark methodology and results are available in Appendix D of the technical report.
Security Features
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Built-in content filtering system
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Dataset filtering to minimize harmful content
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SynthID watermarking integration for image identification
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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-fast" \
--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
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | Yes | - | The positive prompt for image generation. | |
aspect_ratio | string | No | 1:1 | - | The aspect ratio of the generated image. |
num_images | integer | No | 1 | 1 ~ 4 | The number of images to generate. |
negative_prompt | string | No | - | The negative prompt for image generation. | |
seed | integer | No | - | -1 ~ 2147483647 | The random seed to use for the generation. |
enable_base64_output | boolean | No | false | - | 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
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data.id | string | Unique identifier for the prediction, Task Id |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |
Result Query Parameters
Result Request Parameters
Parameter | Type | Required | Default | Description |
---|---|---|---|---|
id | string | Yes | - | Task ID |
Result Response Parameters
Parameter | Type | Description |
---|---|---|
code | integer | HTTP status code (e.g., 200 for success) |
message | string | Status message (e.g., “success”) |
data | object | The prediction data object containing all details |
data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
data.model | string | Model ID used for the prediction |
data.outputs | array | Array of URLs to the generated content (empty when status is not completed ) |
data.urls | object | Object containing related API endpoints |
data.urls.get | string | URL to retrieve the prediction result |
data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
data.status | string | Status of the task: created , processing , completed , or failed |
data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
data.error | string | Error message (empty if no error occurred) |
data.timings | object | Object containing timing details |
data.timings.inference | integer | Inference time in milliseconds |