google/imagen-4/preview
Imagen 4 Preview by Google - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/rungoogle/imagen-4/previewInput Schema
5 parameters · 1 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The text prompt to generate an image from. · Min length: 3 · Max length: 5000 |
seed | integer | Optional | The seed for the random number generator. |
resolution | string | Optional | The resolution of the generated image. · Options: 1K, 2K · Default: "1K" 1K2K |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 · Default: "16:9" 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "google/imagen-4/preview",
"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.",
"resolution": "1K",
"aspect_ratio": "16:9",
"output_format": "png"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Imagen 4 Preview
google/imagen-4/preview creates original still imagery from detailed written art direction, resolving subject, environment, composition, lighting, material, and style without a source image. Imagen 4 improves fine detail, spelling and typography, prompt interpretation, and overall visual quality beyond the previous generation. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.
For production work, the preview model supports 1K or 2K output, ten framing ratios, and JPEG or PNG delivery, making it suitable for both creative exploration and presentation-ready imagery. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.
Highlights
Fine-detail rendering resolves textures, small structures, and complex surfaces with greater precision.
Improved typography produces more accurate spelling and better integrated graphic text.
Stronger prompt interpretation follows nuanced composition, style, and subject relationships.
High-quality realism delivers convincing lighting, materials, and spatial coherence.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.04 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"aspect_ratio": "16:9",
"output_format": "png",
"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.",
"resolution": "1K"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | google/imagen-4/preview |
| Inputs | aspect_ratio, output_format, prompt, resolution, seed |
| Required inputs | prompt |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Resolution | 1K / 2K |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
| Output Format | jpeg / png |

