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Nano Banana Pro Edit Multi

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Google's Nano Banana Pro (Gemini 3.0 Pro Image) Edit is a next-generation image editing model capable of generating multiple high-quality edited images in a single run. Extremely low cost — only $0.07 per image. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-image
Ввод

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If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. Due to variability in Google’s underlying compute resources, inference times can fluctuate significantly. As a result, synchronous requests may hit timeouts.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Ожидание

Replace the man in the first image with the woman from the second image, matching his pose and perspective. Keep the original background intact, and blend the woman naturally into the scene with consistent lighting, shadows, and overall photorealistic style.
Replace the man in the first image with the woman from the second image, matching his pose and perspective. Keep the original background intact, and blend the woman naturally into the scene with consistent lighting, shadows, and overall photorealistic style.

$0.07за запуск·~14 / $1

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ПримерыСмотреть всё

Replace the man in the first image with the woman from the second image, matching his pose and perspective. Keep the original background intact, and blend the woman naturally into the scene with consistent lighting, shadows, and overall photorealistic style.

Replace the man in the first image with the woman from the second image, matching his pose and perspective. Keep the original background intact, and blend the woman naturally into the scene with consistent lighting, shadows, and overall photorealistic style.

Photo-realistic edit of the reference photo. Keep the original West Sea Grand Canyon background, stone path, railings, autumn trees and tourists in the distance. Replace the elderly man on the bench with a handsome young male celebrity-looking man in his late 20s, stylish haircut, clear skin, natural smile, casual but fashionable outdoor outfit (light jacket, shirt, jeans, sneakers), holding a backpack beside him in a relaxed pose. Maintain the same camera angle and composition, soft daylight, realistic colors, high resolution travel photography style.

Photo-realistic edit of the reference photo. Keep the original West Sea Grand Canyon background, stone path, railings, autumn trees and tourists in the distance. Replace the elderly man on the bench with a handsome young male celebrity-looking man in his late 20s, stylish haircut, clear skin, natural smile, casual but fashionable outdoor outfit (light jacket, shirt, jeans, sneakers), holding a backpack beside him in a relaxed pose. Maintain the same camera angle and composition, soft daylight, realistic colors, high resolution travel photography style.

Replace the necklace in Figure 2 with that in Figure 1

Replace the necklace in Figure 2 with that in Figure 1

Photo-realistic edits of the reference couple portrait. Keep the same man and woman, faces, expressions, pose, camera angle and framing. Generate TWO versions of the image: Summer version: change the background to a bright summer scene with lush green trees and clear blue sky. No red autumn leaves. Dress the woman in a light summer outfit (short-sleeved blouse or thin dress) and the man in a T-shirt or light shirt without a jacket. Warm daylight, fresh colors, relaxed vacation atmosphere. Winter version: change the background to a cold winter scene with bare trees, snow on the ground and rooftops, and a pale winter sky. Dress the woman in a thick wool coat, scarf and gloves, and the man in a padded winter jacket with visible layers. Cooler color temperature, soft winter daylight. For both versions, keep the couple’s identity and pose consistent, and blend them naturally into the new background with realistic lighting and shadows.

Photo-realistic edits of the reference couple portrait. Keep the same man and woman, faces, expressions, pose, camera angle and framing. Generate TWO versions of the image: Summer version: change the background to a bright summer scene with lush green trees and clear blue sky. No red autumn leaves. Dress the woman in a light summer outfit (short-sleeved blouse or thin dress) and the man in a T-shirt or light shirt without a jacket. Warm daylight, fresh colors, relaxed vacation atmosphere. Winter version: change the background to a cold winter scene with bare trees, snow on the ground and rooftops, and a pale winter sky. Dress the woman in a thick wool coat, scarf and gloves, and the man in a padded winter jacket with visible layers. Cooler color temperature, soft winter daylight. For both versions, keep the couple’s identity and pose consistent, and blend them naturally into the new background with realistic lighting and shadows.

Stylized edits of the reference portrait photo. Keep the same man, face, expression, hairstyle, pose, camera angle and café background. Generate TWO versions in different art styles: A soft painterly oil-portrait style with a warm color palette, visible brushstrokes, gentle lighting and a slightly textured canvas look, like a classic indoor painting. A clean modern 2D cartoon / anime illustration style with simplified shapes, smooth line art, flat shading with subtle gradients, brighter colors and slightly exaggerated facial features. For both versions, preserve the man’s likeness and overall framing while completely changing the visual rendering style.

Stylized edits of the reference portrait photo. Keep the same man, face, expression, hairstyle, pose, camera angle and café background. Generate TWO versions in different art styles: A soft painterly oil-portrait style with a warm color palette, visible brushstrokes, gentle lighting and a slightly textured canvas look, like a classic indoor painting. A clean modern 2D cartoon / anime illustration style with simplified shapes, smooth line art, flat shading with subtle gradients, brighter colors and slightly exaggerated facial features. For both versions, preserve the man’s likeness and overall framing while completely changing the visual rendering style.

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README

Google Nano Banana Pro Edit Multi

Nano Banana Pro Edit Multi (Gemini 3.0 Pro Image) is Google's next-generation multi-image editing model. Instead of generating a single edited image, this endpoint allows you to upload one or more input images and produce multiple edited outputs in one run.

On WaveSpeedAI, Edit Multi delivers exceptional scale efficiency at a flat $0.07 per image, making it the most cost-effective multi-edit pipeline for design, creative production, and batch asset updates.

🌟 What Makes Edit Multi Special

✔ True multi-edit generation

Generate several edited versions of your uploaded image(s) in a single request using num_images—no loops, no repeated API calls.

✔ Consistent editing style across outputs

All variants follow the same instruction but differ naturally in composition, lighting, pose, or mood—ideal for A/B testing and creative exploration.

✔ Industry-leading cost efficiency

Pay only $0.07 per edited image, regardless of batch size. Perfect for workflows needing dozens or hundreds of variations.

✔ Precise editing behavior

Handles object replacement, style changes, background editing, lighting adjustments, composition tweaks, and more.

✔ Fast, reliable, and no cold starts

Powered by WaveSpeedAI’s optimized runtime for low latency and consistent performance.

⚙️ Capabilities

  • Input: one or more images + a natural-language editing prompt.
  • Output: multiple edited images produced in one inference.
  • num_images: number of variants to generate per request.
  • aspect_ratio: multiple presets supported (square, portrait, landscape, vertical, etc.).
  • output_format: jpeg, png, or webp.

Example Use Cases

  • Produce multiple edited versions of a product shot for ads.
  • Explore different lighting or color moods from a single input.
  • Generate several background-changed variants for e-commerce or marketing.
  • Create multiple stylistic interpretations for concept art or thumbnails.
  • Build diverse A/B test sets for performance optimization.

💰 Pricing

  • Only $0.07 per edited output image.

💡 Best for

  • Batch creative production – generate many edited alternatives at once.
  • Marketing & ad variations – explore different visual directions quickly.
  • Product photography editing – consistent multi-angle or multi-style updates.
  • Content pipelines – reduce API overhead with true multi-edit batching.
  • Creative ideation – fast style exploration while keeping the source image stable.

📝 Notes

  • Edits must comply with Google’s safety requirements.
  • For consistent variation, keep the same input image, seed, and prompt while adjusting only num_images.
  • Avoid conflicting instructions within the same prompt.
  • Higher-level, descriptive prompts typically produce better edits.

🌏 Where Edit Multi Fits In

Use Google Nano Banana Pro Edit Multi when:

  • You need multiple edited images from one input.
  • You want consistent style but varied frames.
  • You require large-scale image editing at extremely low cost.

Complementary WaveSpeedAI Models

  • Nano Banana Pro Edit – for single high-precision edits.
  • Nano Banana Pro Text-to-Image Multi – for generating multiple images from text.
  • Nano Banana Pro Ultra – for ultra-high-resolution hero assets.
  • FLUX series – for cinematic, high-impact visuals and experimental aesthetics.
  • Seedream series – for cost-effective, style-consistent illustration and multi-image set generation.
  • Qwen Image series – for strong LoRA support, flexible style transfer, and advanced controllability.
Доступность:Этот сайт использует модели ИИ, предоставляемые третьими лицами.

Nano Banana Pro Edit Multi API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/nano-banana-pro/edit-multi 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 Pro Edit Multi below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-pro/edit-multi" \
  -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": "3:2",
    "num_images": 2,
    "output_format": "png",
    "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/nano-banana-pro/edit-multi", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "3:2",
        "num_images": 2,
        "output_format": "png",
        "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/nano-banana-pro/edit-multi",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "3:2",
    "num_images": 2,
    "output_format": "png",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

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

Nano Banana Pro Edit Multi API — Frequently asked questions

What is the Nano Banana Pro Edit Multi API?

Nano Banana Pro Edit Multi is a Google model for image editing, exposed as a REST API on WaveSpeedAI. Google's Nano Banana Pro (Gemini 3.0 Pro Image) Edit is a next-generation image editing model capable of generating multiple high-quality edited images in a single run. Extremely low cost — only $0.07 per image. 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 Nano Banana Pro Edit Multi 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-nano-banana-pro-edit-multi.

How much does Nano Banana Pro Edit Multi cost per run?

Nano Banana Pro Edit Multi starts at $0.070 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 Nano Banana Pro Edit Multi accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `enable_base64_output`, `enable_sync_mode`, `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-nano-banana-pro-edit-multi.

How long does Nano Banana Pro Edit Multi take to generate?

Average end-to-end generation time on WaveSpeedAI is around 98 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Nano Banana Pro Edit Multi 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.