Gemini 3 Pro Image Edit | Fast Image Editing API

Google Gemini 3.0 Pro Image Edit

Gemini 3.0 Pro Image Edit (Gemini 3.0 Pro Image) is Google’s advanced AI-powered image editing and generation model, designed to make visual transformation as intuitive as describing it in words. Built on Google’s cutting-edge computer vision and generative research, it combines precision, flexibility, and semantic awareness for professional-grade editing.

🌟 Why it stands out

Natural Language Editing Modify images using simple text instructions — no masking, layering, or manual tools required.
Context-Aware Understanding Accurately interprets scene structure, spatial relationships, and object semantics for realistic results.
Style and Tone Preservation Keeps lighting, shadows, and texture consistent with the original image while applying changes seamlessly.
High Precision Control Excels at fine-grained edits such as color adjustments, object replacement, or composition shifts with minimal distortion.
Creative Versatility Suitable for concept art, photography, advertising design, and everyday content creation.

⚙️ How to use

Input: existing image + text prompt
Output: edited image (JPEG/PNG)
Size: 1:1, 4:3, 16:9, 21:9, and so on.
Supports style transfer, relighting, background replacement, and object modification
Works with natural prompts like:
“Replace the cloudy sky with a clear sunset.”
“Add soft studio lighting and a modern background.”
“Turn the model’s outfit into a formal business suit.”

💰 Pricing

Resolution	Cost per image
1k	$0.14
2k	$0.14
4k	$0.24

💡 Best Use Cases

Marketing & Branding — Update campaign visuals without reshooting.
Product Photography — Adjust materials, lighting, or layout instantly.
Social Media & Content Creation — Generate multiple variations with minimal effort.
Artistic Design — Experiment with colors, styles, and compositions effortlessly.

📝 Notes

Please ensure your prompts comply with Google’s Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.

🌏 Where gemini-3-pro-image Edit Fits In

Compare gemini-3-pro-image Edit with:

FLUX.1 [dev] – Nano Banana Pro Edit focuses on semantic understanding and layout-aware editing via Gemini 3’s reasoning, making it ideal for complex, text-driven transformations without manual masking. FLUX.1 [dev] emphasizes maximum resolution control and fine detail preservation for highly technical workflows.
Stable Diffusion 3.5 – Nano Banana Pro Edit leverages Google’s production-scale multimodal training and advanced reasoning for context-aware edits that understand object relationships and composition. Stable Diffusion 3.5 offers open-source flexibility for custom fine-tuning and local deployment in highly specialized pipelines.
Gpt-Image-1 (OpenAI) – Nano Banana Pro Edit emphasizes layout control, multilingual on-image text, and tightly directed edits for design and marketing workflows, while openai/gpt-image-1 shines as a general-purpose creative generator with strong style variety and fast, natural-language image synthesis for broad consumer and developer use.
Original Nano Banana (Gemini 2.5 Flash Image) – Nano Banana Pro Edit trades pure speed for quality, delivering better reasoning, sharper text, improved character consistency, and richer camera controls at a higher unit cost. Original Nano Banana remains ideal for rapid, low-latency iterations and lightweight edits.
Seedream – Nano Banana Pro Edit is tuned for reliable typography, photo-real edits, and mixed media layouts, while SeeDream excels at fast, stylized T2I generation with strong anime and illustration aesthetics, making it a good choice for heavily stylized concept art.
Qwen Image 2509 – Nano Banana Pro Edit focuses on high-fidelity 4K outputs and multilingual on-image design control, whereas Qwen Image shines in open-source ecosystems and document-style rendering, offering flexible integration for developer-centric and research workflows.

Gemini 3 Pro Image Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/gemini-3-pro-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 3 Pro Image Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/google/gemini-3-pro-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",
    "resolution": "1k",
    "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/gemini-3-pro-image/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "aspect_ratio": "1:1",
        "resolution": "1k",
        "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/gemini-3-pro-image/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "aspect_ratio": "1:1",
    "resolution": "1k",
    "output_format": "png",
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

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

Gemini 3 Pro Image Edit API — Frequently asked questions

What is the Gemini 3 Pro Image Edit API?

Gemini 3 Pro Image Edit is a Google model for image editing, exposed as a REST API on WaveSpeedAI. Google's Gemini 3.0 Pro (Gemini 3.0 Pro Image) Edit enables image editing and text-to-image generation with 4K-capable output for mobile devices. 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 3 Pro 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-3-pro-image-edit.

How much does Gemini 3 Pro Image Edit cost per run?

Gemini 3 Pro Image Edit starts at $0.14 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 3 Pro Image Edit accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `resolution`, `enable_base64_output`, `enable_sync_mode`. 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-3-pro-image-edit.

How long does Gemini 3 Pro Image Edit take to generate?

Average end-to-end generation time on WaveSpeedAI is around 81 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 3 Pro 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.

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