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Nano Banana
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Google

Nano Banana

Google · under 1 min
from $0.010per picture

Google's light and fast model: pictures from a description and edits of your photos.

Edit a photo google/nano-banana-edit · 1K $0.010 · 2K $0.020Create a picture google/nano-banana · 1K $0.010 · 2K $0.020
ModeIDPrice
Edit a photogoogle/nano-banana-edit1K $0.010 · 2K $0.020
Create a picturegoogle/nano-banana1K $0.010 · 2K $0.020
Edit a photoCreate a picture

Edit a photo

Upload a photo and describe what to change. ID: google/nano-banana-edit · 1K $0.010 · 2K $0.020 per image · under 1 min

Parameters (field input)

ParameterRequiredDescriptionValues (default in bold)
promptyesWhat to draw or what to changetext, up to 5000 chars
image_urlsyesLinks to your photos (https), up to 10["https://…"]
aspect_rationoImage shapeauto 1:1 2:3 3:2 3:4 4:3 4:5 5:4 9:16 16:9 21:9
resolutionnoLong side: 0.5K ≈ 512 px, 1K ≈ 1024 px, 2K ≈ 2048 px, 4K ≈ 4096 px. Sizes above native are an upscale of the finished picture (Lanczos + light sharpening): 4K on Nano Banana 2 and Pro from 2K, 2K on Nano Banana from 1K, 2K and 4K on GPT Image from its native ~1.5K1K 2K
output_formatnoFile formatpng jpeg

Example

curl -X POST https://mixmedia.tech/api/v1/jobs/createTask \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/nano-banana-edit","input":{"prompt":"Make the background a neon city at night","image_urls":["https://mixmedia.tech/static/img/previews/gpt-t2i.jpg"],"aspect_ratio":"auto","resolution":"1K"}}'

import os, requests

r = requests.post(
    "https://mixmedia.tech/api/v1/jobs/createTask",
    headers={"Authorization": f"Bearer {os.environ['API_KEY']}"},
    json={
      "model": "google/nano-banana-edit",
      "input": {
        "prompt": "Make the background a neon city at night",
        "image_urls": [
          "https://mixmedia.tech/static/img/previews/gpt-t2i.jpg"
        ],
        "aspect_ratio": "auto",
        "resolution": "1K"
      }
    },
)
print(r.json())  # {"code": 200, "data": {"taskId": "..."}}

const r = await fetch("https://mixmedia.tech/api/v1/jobs/createTask", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.API_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({
    "model": "google/nano-banana-edit",
    "input": {
      "prompt": "Make the background a neon city at night",
      "image_urls": [
        "https://mixmedia.tech/static/img/previews/gpt-t2i.jpg"
      ],
      "aspect_ratio": "auto",
      "resolution": "1K"
    }
  }),
});
console.log(await r.json()); // { code: 200, data: { taskId: "..." } }

Create a picture

Describe the picture and the model creates it from scratch. ID: google/nano-banana · 1K $0.010 · 2K $0.020 per image · ~1 min

Parameters (field input)

ParameterRequiredDescriptionValues (default in bold)
promptyesWhat to draw or what to changetext, up to 5000 chars
aspect_rationoImage shapeauto 1:1 2:3 3:2 3:4 4:3 4:5 5:4 9:16 16:9 21:9
resolutionnoLong side: 0.5K ≈ 512 px, 1K ≈ 1024 px, 2K ≈ 2048 px, 4K ≈ 4096 px. Sizes above native are an upscale of the finished picture (Lanczos + light sharpening): 4K on Nano Banana 2 and Pro from 2K, 2K on Nano Banana from 1K, 2K and 4K on GPT Image from its native ~1.5K1K 2K
output_formatnoFile formatpng jpeg

Example

curl -X POST https://mixmedia.tech/api/v1/jobs/createTask \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/nano-banana","input":{"prompt":"A cat astronaut in a neon city, cinematic light","aspect_ratio":"auto","resolution":"1K"}}'

import os, requests

r = requests.post(
    "https://mixmedia.tech/api/v1/jobs/createTask",
    headers={"Authorization": f"Bearer {os.environ['API_KEY']}"},
    json={
      "model": "google/nano-banana",
      "input": {
        "prompt": "A cat astronaut in a neon city, cinematic light",
        "aspect_ratio": "auto",
        "resolution": "1K"
      }
    },
)
print(r.json())  # {"code": 200, "data": {"taskId": "..."}}

const r = await fetch("https://mixmedia.tech/api/v1/jobs/createTask", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.API_KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({
    "model": "google/nano-banana",
    "input": {
      "prompt": "A cat astronaut in a neon city, cinematic light",
      "aspect_ratio": "auto",
      "resolution": "1K"
    }
  }),
});
console.log(await r.json()); // { code: 200, data: { taskId: "..." } }

Compatibility

apimart/OpenAI-style requests work too:

  • model: google/nano-banana-edit, nano-banana-edit, google/nano-banana, nano-banana, nano-banana-ext, gemini-2.5-flash-image-preview, gemini-2.5-flash-image-preview-official.
  • size instead of aspect_ratio: a ratio (16:9) or exact pixels (1600x1200) — we use the closest supported ratio.
  • Photos can go in image_urls, image_input or input_urls. Parameters may also be sent at the top level of the body, without the input wrapper.
  • resolution in any case (1k, 2K); jpg and jpeg are the same. n must be 1 (one image per request).
  • nsfw_check, official_fallback, google_search are accepted but do not change the result.
  • Photos sent to google/nano-banana route the task to google/nano-banana-edit.

Result

Same as any task: call recordInfo or receive a callback. Image links are in resultJson (kept for 24 hours).

Upload your photos via files/upload or pass any public https links.

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