Gemini 2.5 Flash Image Edit

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Nano Banana (Gemini 2.5 Flash Image) offers image-to-image generation and precise editing with deep reasoning for improved accuracy. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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$0.038per esecuzione·~26 / $1

A bed was placed in the room.

The girl is holding a camera and facing the lens.

The scene changes to night.

The girl changed into a yellow hoodie and held up an umbrella.

Change the scene to a castle.

Replace all dragons with black horses.

The man is reading the book.

Change the cat's eyes to purple.

Change to black hair, wear red clothes.

Replace the little rabbit inside with a little pig.

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README

Nano Banana AI delivers revolutionary image-to-image generation and editing with deep reasoning capabilities, outperforming competitors in accuracy, consistency.

Accessibilità:Questo sito web utilizza modelli di intelligenza artificiale forniti da terze parti.

Gemini 2.5 Flash Image Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-2.5-flash-image/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 Gemini 2.5 Flash Image Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/gemini-2.5-flash-image/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",
    "aspect_ratio": "1:1",
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "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].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("google/gemini-2.5-flash-image/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "1:1",
        "output_format": "jpeg",
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "google/gemini-2.5-flash-image/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

print(output["outputs"][0])  # → URL of the generated output

Gemini 2.5 Flash Image Edit API — Frequently asked questions

What is the Gemini 2.5 Flash Image Edit API?

Gemini 2.5 Flash Image Edit is a Google model for image editing, exposed as a REST API on WaveSpeedAI. Nano Banana (Gemini 2.5 Flash Image) offers image-to-image generation and precise editing with deep reasoning for improved accuracy. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Gemini 2.5 Flash Image Edit API?

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-gemini-2.5-flash-image-edit.

How much does Gemini 2.5 Flash Image Edit cost per run?

Gemini 2.5 Flash Image Edit 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.

What inputs does Gemini 2.5 Flash Image Edit accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `enable_base64_output`, `enable_sync_mode`, `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-gemini-2.5-flash-image-edit.

How long does Gemini 2.5 Flash Image Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 32 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Gemini 2.5 Flash Image Edit outputs commercially?

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.

Gemini 2.5 Flash Image Edit

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