> ## Documentation Index
> Fetch the complete documentation index at: https://docs.apikley.ru/llms.txt
> Use this file to discover all available pages before exploring further.
# Google nano banana edit
# Google - Nano Banana Edit
> Image editing using Google's Nano Banana Edit model
## Query Task Status
After submitting a task, use the unified query endpoint to check progress and retrieve results:
Learn how to query task status and retrieve generation results
For production use, we recommend using the `callBackUrl` parameter to receive automatic notifications when generation completes, rather than polling the status endpoint.
## Related Resources
Explore all available models
Check credits and account usage
> Rate limits and quotas are enforced by Apikley and may differ from upstream providers.
## OpenAPI
```yaml market/google/nano-banana-edit.json post /api/v1/jobs/createTask theme={null}
openapi: 3.0.0
info:
title: Google API
description: Apikley Google API Documentation
version: 1.0.0
contact:
name: Technical Support
email: support@apikley.ru
servers:
- url: https://api.apikley.ru
description: API Server
security:
- BearerAuth: []
paths:
/api/v1/jobs/createTask:
post:
summary: Generate content using google/nano-banana-edit
operationId: google-nano-banana-edit
requestBody:
required: true
content:
application/json:
schema:
type: object
required:
- model
properties:
model:
type: string
enum:
- google/nano-banana-edit
default: google/nano-banana-edit
description: |-
The model name to use for generation. Required field.
- Must be `google/nano-banana-edit` for this endpoint
example: google/nano-banana-edit
callBackUrl:
type: string
format: uri
description: >-
The URL to receive generation task completion updates.
Optional but recommended for production use.
- System will POST task status and results to this URL when
generation completes
- Callback includes generated content URLs and task
information
- Your callback endpoint should accept POST requests with
JSON payload containing results
- Alternatively, use the Get Task Details endpoint to poll
task status
example: https://your-domain.com/api/callback
input:
type: object
description: Input parameters for the generation task
properties:
prompt:
description: >-
The prompt for image editing (Max length: 5000
characters)
type: string
maxLength: 5000
example: >-
turn this photo into a character figure. Behind it,
place a box with the character’s image printed on it,
and a computer showing the Blender modeling process on
its screen. In front of the box, add a round plastic
base with the character figure standing on it. set the
scene indoors if possible
image_urls:
description: >-
List of URLs of input images for editing,up to 10
images. (File URL after upload, not file content;
Accepted types: image/jpeg, image/png, image/webp; Max
size: 10.0MB)
type: array
items:
type: string
format: uri
maxItems: 10
example:
- >-
https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png
output_format:
description: Output format for the images
type: string
enum:
- png
- jpeg
default: png
example: png
image_size:
description: Radio description
type: string
enum:
- '1:1'
- '9:16'
- '16:9'
- '3:4'
- '4:3'
- '3:2'
- '2:3'
- '5:4'
- '4:5'
- '21:9'
- auto
default: '1:1'
example: '1:1'
required:
- prompt
- image_urls
example:
model: google/nano-banana-edit
callBackUrl: https://your-domain.com/api/callback
input:
prompt: >-
turn this photo into a character figure. Behind it, place a
box with the character’s image printed on it, and a computer
showing the Blender modeling process on its screen. In front
of the box, add a round plastic base with the character figure
standing on it. set the scene indoors if possible
image_urls:
- >-
https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png
output_format: png
image_size: '1:1'
responses:
'200':
description: Request successful
content:
application/json:
schema:
allOf:
- $ref: '#/components/schemas/ApiResponse'
- type: object
properties:
data:
type: object
properties:
taskId:
type: string
description: >-
Task ID, can be used with Get Task Details
endpoint to query task status
example: task_google_1765178615729
example:
code: 200
msg: success
data:
taskId: task_google_1765178615729
'500':
$ref: '#/components/responses/Error'
components:
schemas:
ApiResponse:
type: object
properties:
code:
type: integer
enum:
- 200
- 401
- 402
- 404
- 422
- 429
- 455
- 500
- 501
- 505
description: >-
Response status code
- **200**: Success - Request has been processed successfully
- **401**: Unauthorized - Authentication credentials are missing or
invalid
- **402**: Insufficient Credits - Account does not have enough
credits to perform the operation
- **404**: Not Found - The requested resource or endpoint does not
exist
- **422**: Validation Error - The request parameters failed
validation checks
- **429**: Rate Limited - Request limit has been exceeded for this
resource
- **455**: Service Unavailable - System is currently undergoing
maintenance
- **500**: Server Error - An unexpected error occurred while
processing the request
- **501**: Generation Failed - Content generation task failed
- **505**: Feature Disabled - The requested feature is currently
disabled
msg:
type: string
description: Response message, error description when failed
example: success
responses:
Error:
description: Server Error
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: API Key
description: >-
All APIs require authentication via Bearer Token.
Get API Key:
1. Visit [API Key Management Page](https://app.apikley.ru/keys) to get your
API Key
Usage:
Add to request header:
Authorization: Bearer APIKLEY_API_KEY
Note:
- Keep your API Key secure and do not share it with others
- If you suspect your API Key has been compromised, reset it immediately
in the management page
```
***
> To find navigation and other pages in this documentation, fetch the llms.txt file at: [https://docs.apikley.ru/llms.txt](https://docs.apikley.ru/llms.txt)