> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/image-models/google/gemini-2.5-flash-image-edit.md). # Gemini 2.5 Flash Image Edit (Nano Banana) {% columns %} {% column width="66.66666666666666%" %} {% hint style="info" %} This documentation is valid for the following list of our models: * `google/gemini-2.5-flash-image-edit` {% endhint %} {% endcolumn %} {% column width="33.33333333333334%" %} Try in Playground {% endcolumn %} {% endcolumns %} ## Model Overview The model takes multiple images as input, with the prompt defining how they are used or combined. ## Setup your API Key If you don’t have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up). ## API Schema
Aspect ratio/Resolution Table | Aspect ratio | Resolution | Credits | | ------------ | ---------- | ------- | | 1:1 | 1024×1024 | 84 000 | | 2:3 | 832×1248 | 84 000 | | 3:2 | 1248×832 | 84 000 | | 3:4 | 864×1184 | 84 000 | | 4:3 | 1184×864 | 84 000 | | 4:5 | 896×1152 | 84 000 | | 5:4 | 1152×896 | 84 000 | | 9:16 | 768×1344 | 84 000 | | 16:9 | 1344×768 | 84 000 | | 21:9 | 1536×672 | 84 000 |
## POST /v1/images/generations > ```json {"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/images/generations":{"post":{"operationId":"_v1_images_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["google/nano-banana-edit"]},"prompt":{"type":"string","description":"The text prompt describing the content, style, or composition of the image to be generated."},"image_urls":{"type":"array","items":{"type":"string","format":"uri"},"maxItems":3,"description":"List of URLs or local Base64 encoded images to edit."},"aspect_ratio":{"type":"string","enum":["1:1","9:16","16:9","3:4","4:3"],"description":"The aspect ratio of the generated image. It is taken from this parameter or from the provided reference image. If the parameter is not set and no reference image is provided, the default value is 16:9."},"enhance_prompt":{"type":"boolean","default":true,"description":"Optional parameter to use an LLM-based prompt rewriting feature for higher-quality images that better match the original prompt. Disabling it may affect image quality and prompt alignment."},"num_images":{"type":"integer","maximum":4,"default":1,"description":"The number of images to generate."},"seed":{"type":"integer","minimum":0,"maximum":4294967295,"description":"The same seed and the same prompt given to the same version of the model will output the same image every time."},"person_generation":{"type":"string","enum":["dont_allow","allow_adult"],"default":"allow_adult","description":"Allow generation of people."},"safety_setting":{"type":"string","enum":["block_low_and_above","block_medium_and_above","block_only_high"],"default":"block_medium_and_above","description":"Adds a filter level to safety filtering."},"add_watermark":{"type":"boolean","default":false,"description":"Add an invisible watermark to the generated images."},"convert_base64_to_url":{"type":"boolean","default":true,"description":"If True, the URL to the image will be returned; otherwise, the file will be provided in base64 format."},"provider":{"type":"string","description":"Provider routing override. `google` runs native Google with no fallback; `fal` runs the fal.ai mirror; `auto` (default) uses the Google -> fal.ai fallback chain. Case-insensitive."}},"required":["model","prompt"],"title":"google/nano-banana-edit"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"data":{"type":"array","nullable":true,"items":{"type":"object","properties":{"url":{"type":"string","nullable":true,"description":"The URL where the file can be downloaded from."},"b64_json":{"type":"string","nullable":true,"description":"The base64-encoded JSON of the generated image."}}},"description":"The list of generated images."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."},"usd_spent":{"type":"number","description":"The total amount of money spent by the user in USD."}},"required":["credits_used","usd_spent"]}},"description":"Additional details about the generation."}}}}},"description":"Successful response."}}}}}} ``` ## Quick Example Let's generate an image using two input images and a prompt that defines how they should be edited. {% tabs %} {% tab title="Python" %} {% code overflow="wrap" %} ```python import requests import json def main(): response = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={ # Insert your AIML API Key instead of : "Authorization": "Bearer ", "Content-Type": "application/json", }, json={ "model": "google/gemini-2.5-flash-image-edit", "image_urls": [ "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png", "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg" ], "prompt": "Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.", } ) data = response.json() print(json.dumps(data, indent=2, ensure_ascii=False)) if __name__ == "__main__": main() ``` {% endcode %} {% endtab %} {% tab title="JS" %} {% code overflow="wrap" %} ```javascript async function main() { const response = await fetch('https://api.aimlapi.com/v1/images/generations', { method: 'POST', headers: { // Insert your AIML API Key instead of : 'Authorization': 'Bearer ', 'Content-Type': 'application/json', }, body: JSON.stringify({ model: 'google/gemini-2.5-flash-image-edit', image_urls: [ 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/t-rex.png', 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/blue-mug.jpg' ], prompt: 'Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect.', }), }); } main(); ``` {% endcode %} {% endtab %} {% endtabs %}
Response {% code overflow="wrap" %} ```json5 { "images": [ { "url": "https://cdn.aimlapi.com/eagle/files/panda/9g3PokYLjWoygTVrRgfvG_output.png", "content_type": "image/png", "file_name": "output.png", "file_size": 2273159, "width": null, "height": null } ], "description": "Here is your T-Rex in a business suit, enjoying a drink in a cozy cafe! " } ``` {% endcode %}
Reference ImagesGenerated Image
Image #1"Combine the images so the T-Rex is wearing a business suit, sitting in a cozy small café, drinking from the mug. Blur the background slightly to create a bokeh effect."
Image #2
--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.aimlapi.com/api-references/image-models/google/gemini-2.5-flash-image-edit.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.