Imagen3 is Google's highest-quality text-to-image model, generating highly detailed, beautifully lit and photoreal images from text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle

$0.038per run·~26 / $1

A young woman tying her hair in front of a foggy bathroom mirror, toothbrush in mouth, cozy pajamas, bathroom shelf cluttered with daily items

A group of friends eating hotpot at home, smiling, chatting, with realistic tabletop details

A woman drinking coffee alone in a corner café, reading a book, afternoon light through large windows

A grandmother knitting on an armchair, worn books stacked beside her, sleepy dog at her feet, old wooden clock on the wall, peaceful ambiance

Two roommates sitting on a cozy couch, laughing while watching a movie, popcorn bowl between them, string lights in the background

A man brewing coffee in a small kitchen, sunlight filtering through patterned curtains, steam rising, tiled countertop, houseplants on the windowsill

A serene mountain landscape during golden hour, with tall pine trees in the foreground, a calm lake reflecting the snowy peaks, and soft light casting long shadows. The sky is clear with a gentle orange glow, ultra-realistic, high-resolution DSLR style.

A whimsical, storybook-style illustration of a fox in a forest, standing upright wearing a green coat and reading a book under a mushroom. Soft watercolor textures, pastel colors, children’s storybook aesthetic.

A floating island in the sky with waterfalls cascading into the clouds, a small village with glowing lanterns, and a giant moon hanging close in the background. Magical atmosphere, detailed concept art, cinematic wide shot.

A claymation-style scene of a bear chef cooking pancakes in a cozy kitchen, with exaggerated textures and handmade imperfections. Soft lighting, warm tones, stop-motion animation aesthetic, very detailed.

A dreamy anime-style portrait of a girl with flowing silver hair, standing in a field of glowing fireflies under a starry sky. Soft lighting, detailed eyes, Studio Ghibli + Makoto Shinkai inspired mood, high-resolution.
Generate premium images with Google Imagen 3 — Google's most advanced text-to-image model. Renowned for exceptional photorealism, nuanced understanding of prompts, and superior detail rendering, Imagen 3 delivers the highest quality output for professional creative work.
Looking for faster generation? Try Google Imagen 3 Fast for speed-optimized output at a lower price.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| aspect_ratio | No | Output format: 16:9, 9:16, 1:1, 4:3, 3:4, etc. Default: 16:9. |
| num_images | No | Number of images to generate (1-4). Default: 1. |
| negative_prompt | No | Elements to avoid in the generated image. |
| seed | No | Random seed for reproducibility. Leave empty for random. |
Flat rate per image generated.
| Output | Cost |
|---|---|
| Per image | $0.038 |
| 4 images (max batch) | $0.152 |
| Model | Cost | Speed | Best For |
|---|---|---|---|
| Imagen 3 | $0.038 | Standard | Maximum quality, final deliverables |
| Imagen 3 Fast | $0.018 | Fast | Rapid iteration, testing, high-volume |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/imagen3 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Imagen3 below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/imagen3" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"num_images": 1,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("google/imagen3", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"num_images": 1,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/imagen3",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"num_images": 1,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputImagen3 is a Google model for image generation, exposed as a REST API on WaveSpeedAI. Imagen3 is Google's highest-quality text-to-image model, generating highly detailed, beautifully lit and photoreal images from text prompts. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-imagen3.
Imagen3 starts at $0.038 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `aspect_ratio`, `seed`, `negative_prompt`, `enable_base64_output`, `num_images`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-imagen3.
Average end-to-end generation time on WaveSpeedAI is around 19 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.