Google Nano Banana Lite Edit transforms uploaded images with text instructions, supporting fast prompt-guided image editing, visual refinements, and creative changes with low latency. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ожидание

$0.035за запуск·~28 / $1

Transform this portrait into a cinematic post-apocalyptic survivor poster. Keep the woman's face, identity, pose, and jacket structure consistent. Add dust and subtle scratches on her face, change the background into a ruined city street with smoke, broken buildings, orange sunset light, and a red emergency flare glow from one side. Make her expression determined and emotional. Realistic cinematic lighting, gritty survival atmosphere, no gore, no face distortion.
Google Nano Banana Lite Edit transforms uploaded images using natural-language instructions with a fast, lightweight image editing model. Upload one or more images, describe the edit you want, choose an output size and format, and receive the edited image URL in the standard WaveSpeed prediction response.
Instruction-based image editing
Edit input images by describing the desired change in natural language.
Multiple image references
Provide one or more images to guide the edit workflow.
Flexible aspect ratios
Choose common square, portrait, landscape, and wide-format aspect ratio presets.
Simple editing controls
The public form focuses on images, prompt, size, and output_format.
Single-image output
Each request generates one edited image for predictable cost and behavior.
| Parameter | Required | Description |
|---|---|---|
| images | Yes | Input image URLs for editing. |
| prompt | Yes | Edit instruction describing how to transform the input image. |
| size | No | Output aspect ratio preset. Default: auto. |
| output_format | No | Output image format: png, jpeg, or webp. Default: png. |
auto or select a specific aspect ratio preset.png, jpeg, or webp depending on your workflow.| Output Images | Price |
|---|---|
| 1 | $0.035 |
auto when you want the model to infer the best output ratio from the input and prompt.png for higher-quality general output.jpeg for smaller file sizes.webp for web-friendly image output.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/nano-banana-lite/edit 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 Nano Banana Lite Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-lite/edit" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "auto",
"output_format": "png"
}'
# 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/nano-banana-lite/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "auto",
"output_format": "png"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"google/nano-banana-lite/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "auto",
"output_format": "png"
}
)
print(output["outputs"][0]) # → URL of the generated outputNano Banana Lite Edit is a Google model for image editing, exposed as a REST API on WaveSpeedAI. Google Nano Banana Lite Edit transforms uploaded images with text instructions, supporting fast prompt-guided image editing, visual refinements, and creative changes with low latency. 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-nano-banana-lite-edit.
Nano Banana Lite Edit starts at $0.035 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`, `images`, `size`, `output_format`. 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-nano-banana-lite-edit.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.