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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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A bed was placed in the room.

$0.038por execução·~26 / $1

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ExemplosVer todos

A bed was placed in the room.

A bed was placed in the room.

The girl is holding a camera and facing the lens.

The girl is holding a camera and facing the lens.

The scene changes to night.

The scene changes to night.

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

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

Change the scene to a castle.

Change the scene to a castle.

Replace all dragons with black horses.

Replace all dragons with black horses.

The man is reading the book.

The man is reading the book.

Change the cat's eyes to purple.

Change the cat's eyes to purple.

Change to black hair, wear red clothes.

Change to black hair, wear red clothes.

Replace the little rabbit inside with a little pig.

Replace the little rabbit inside with a little pig.

Modelos relacionados

README

Gemini 2.5 Flash Image Edit

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

Nota:Este site utiliza modelos de IA fornecidos por terceiros.

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. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Gemini 2.5 Flash Image Edit below.

HTTP example
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -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
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.
Node.js example
// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey, {
  maxConnectionRetries: 5,
  retryInterval: 1.0,
});

try {
  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
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}
Python example
# pip install wavespeed
import os
from wavespeed import Client

client = Client(
    api_key=os.environ["WAVESPEED_API_KEY"],
    max_connection_retries=5,
    retry_interval=1.0,
)

try:
    output = 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
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. 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 | Fast Image Editing API | WaveSpeedAI