Imagen4
Google’s highest quality image generation model
Features
Imagen 4 is Google DeepMind’s latest text-to-image model, released in 2024. It delivers stunning, high-resolution visuals with exceptional prompt fidelity.
Key Features
- Photorealistic Quality: Generates high-fidelity images with rich textures, realistic lighting, and professional-grade clarity.
- Complex Scene Understanding: Accurately depicts multiple characters, layered environments, and spatial consistency within a single image.
- Precise Prompt Adherence: Interprets detailed text prompts with exceptional control, even in imaginative or abstract contexts.
- Stylistic Flexibility: Supports a wide range of visual styles — from photorealism to illustration — with fine-grained artistic direction.
Use Cases
- Commercial and marketing visuals.
- Concept art for games and films.
- Educational illustrations and storybooks.
- UI/UX ideation and visual mockupsUI/UX.
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/wavespeed-ai/imagen4" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"prompt": "Capture an intimate close-up bathed in warm, soft, late-afternoon sunlight filtering into a quintessential 1960s kitchen. The focal point is a charmingly designed vintage package of all-purpose flour, resting invitingly on a speckled Formica countertop. The packaging itself evokes pure nostalgia: perhaps thick, slightly textured paper in a warm cream tone, adorned with simple, bold typography (a friendly serif or script) in classic red and blue “ALL-PURPOSE FLOUR”, featuring a delightful illustration like a stylized sheaf of wheat or a cheerful baker character. In smaller bold print at the bottom of the package: “NET WT 5 LBS (80 OZ) 2.27kg”. Focus sharply on the package details – the slightly soft edges of the paper bag, the texture of the vintage printing, the inviting \"All-Purpose Flour\" text. Subtle hints of the 1960s kitchen frame the shot – the chrome edge of the counter gleaming softly, a blurred glimpse of a pastel yellow ceramic tile backsplash, or the corner of a vintage metal canister set just out of focus. The shallow depth of field keeps attention locked on the beautifully designed package, creating an aesthetic rich in warmth, authenticity, and nostalgic appeal.",
"negative_prompt": "",
"aspect_ratio": "1:1",
"num_images": 1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
Parameter | Type | Required | Default | Range | Description |
---|---|---|---|---|---|
prompt | string | Yes | Capture an intimate close-up bathed in warm, soft, late-afternoon sunlight filtering into a quintessential 1960s kitchen. The focal point is a charmingly designed vintage package of all-purpose flour, resting invitingly on a speckled Formica countertop. The packaging itself evokes pure nostalgia: perhaps thick, slightly textured paper in a warm cream tone, adorned with simple, bold typography (a friendly serif or script) in classic red and blue “ALL-PURPOSE FLOUR”, featuring a delightful illustration like a stylized sheaf of wheat or a cheerful baker character. In smaller bold print at the bottom of the package: “NET WT 5 LBS (80 OZ) 2.27kg”. Focus sharply on the package details – the slightly soft edges of the paper bag, the texture of the vintage printing, the inviting "All-Purpose Flour" text. Subtle hints of the 1960s kitchen frame the shot – the chrome edge of the counter gleaming softly, a blurred glimpse of a pastel yellow ceramic tile backsplash, or the corner of a vintage metal canister set just out of focus. The shallow depth of field keeps attention locked on the beautifully designed package, creating an aesthetic rich in warmth, authenticity, and nostalgic appeal. | - | The text prompt describing what you want to see |
negative_prompt | string | No | - | - | A description of what to discourage in the generated images |
aspect_ratio | string | No | 1:1 | - | The aspect ratio of the generated image |
num_images | integer | No | 1 | 1 ~ 4 | Number of images to generate (1-4) |
seed | integer | No | - | -1 ~ 9999999999 | Random seed for reproducible generation |
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 |
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 |