RunwayML Gen-4 Image Turbo is cheaper and 2.5x faster than Gen-4 Image and supports up to 3 reference images to capture every angle. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
대기 중

$0.03실행당·~33 / $1

Character is crossing arms.

Character wearing a leather jacket in a cyberpunk city.

Character wear a blue hat.

Character is taking photos.

Character is playing the violin.

Character is eating noodles with fork.

Character is reading books.

Character is wearing the red silk formal wear.

The character is standing on the street.

Character is playing the piano.
Generate stunning images from text prompts with optional reference image guidance. Runway's Gen4 Image Turbo delivers fast, high-quality results with support for multiple aspect ratios and resolutions — perfect for rapid creative iteration.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| aspect_ratio | No | Output aspect ratio (e.g., 9:16, 16:9, 1:1). Default varies. |
| resolution | No | Output resolution (e.g., 1080p). |
| reference_images | No | Up to 3 reference images to guide generation (upload or URL). |
| seed | No | Random seed for reproducibility. Leave empty for random. |
| enable_base64_output | No | API only: Returns base64 string instead of URL. |
Flat rate per image generation.
| Output | Cost |
|---|---|
| Per image | $0.03 |
| Images Generated | Total Cost |
|---|---|
| 1 | $0.03 |
| 10 | $0.30 |
| 100 | $3.00 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/runwayml/gen4-image-turbo 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 Gen4 Image Turbo below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/runwayml/gen4-image-turbo" \
-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": "4:3",
"resolution": "1080p",
"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("runwayml/gen4-image-turbo", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "4:3",
"resolution": "1080p",
"seed": 0,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"runwayml/gen4-image-turbo",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "4:3",
"resolution": "1080p",
"seed": 0,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputGen4 Image Turbo is a Runwayml model for image generation, exposed as a REST API on WaveSpeedAI. RunwayML Gen-4 Image Turbo is cheaper and 2.5x faster than Gen-4 Image and supports up to 3 reference images to capture every angle. 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/runwayml/runwayml-gen4-image-turbo.
Gen4 Image Turbo starts at $0.030 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`, `resolution`, `seed`, `reference_images`, `enable_base64_output`. 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/runwayml/runwayml-gen4-image-turbo.
Average end-to-end generation time on WaveSpeedAI is around 11 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 (Runwayml). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.