List Image Models

List Image Models

curl --request GET \
  --url https://nano-gpt.com/api/v1/images/models

import requests

url = "https://nano-gpt.com/api/v1/images/models"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://nano-gpt.com/api/v1/images/models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://nano-gpt.com/api/v1/images/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://nano-gpt.com/api/v1/images/models"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://nano-gpt.com/api/v1/images/models")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/v1/images/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

GET

api

images

models

List Image Models

curl --request GET \
  --url https://nano-gpt.com/api/v1/images/models

import requests

url = "https://nano-gpt.com/api/v1/images/models"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://nano-gpt.com/api/v1/images/models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://nano-gpt.com/api/v1/images/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://nano-gpt.com/api/v1/images/models"

	req, _ := http.NewRequest("GET", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://nano-gpt.com/api/v1/images/models")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/v1/images/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)

response = http.request(request)
puts response.read_body

Overview

Use GET /api/v1/images/models to discover image models for the dedicated Image API. The response includes model IDs, capabilities, supported parameters, streaming support, and a model-specific endpoint metadata URL. Model availability and supported parameters can change. Build clients from the returned metadata instead of hardcoding model capability tables.

Authentication

Authentication is optional.

Authorization: Bearer YOUR_API_KEY
x-api-key: YOUR_API_KEY

Response

{
  "object": "list",
  "data": [
    {
      "id": "gpt-image-2",
      "name": "GPT Image 2",
      "description": "Model description...",
      "created": 1760000000,
      "owned_by": "openai",
      "architecture": {
        "input_modalities": ["text", "image"],
        "output_modalities": ["image"]
      },
      "supported_parameters": {
        "resolution": {
          "type": "enum",
          "values": ["1024x1024", "1024x768"],
          "default": "1024x1024"
        },
        "n": {
          "type": "range",
          "min": 1,
          "max": 4,
          "default": 1
        }
      },
      "supports_streaming": false,
      "endpoints": "/api/v1/images/models/gpt-image-2/endpoints",
      "capabilities": {
        "image_generation": true,
        "image_to_image": true,
        "inpainting": false,
        "nsfw": false
      },
      "category": "image"
    }
  ],
  "meta": {
    "count": 201,
    "generated_at": "2026-06-25T00:00:00.000Z"
  }
}

Fields

Field	Type	Description
`id`	string	Model ID to use in `POST /api/v1/images`.
`name`	string	Human-readable model name.
`description`	string	Model description.
`created`	integer	Unix timestamp for when the model was added.
`owned_by`	string	Public owner or provider label.
`architecture.input_modalities`	string[]	Supported input modalities, such as `text` or `image`.
`architecture.output_modalities`	string[]	Supported output modalities.
`supported_parameters`	object	Machine-readable model-specific parameter metadata.
`supports_streaming`	boolean	Currently always `false`.
`endpoints`	string	URL for endpoint metadata and pricing for this model.
`capabilities`	object	Feature flags such as `image_generation`, `image_to_image`, `inpainting`, and `nsfw`.
`category`	string	Usually `image`.

Example

curl https://nano-gpt.com/api/v1/images/models

Notes

supported_parameters varies by model.
Model IDs may contain slashes. Prefer the returned endpoints URL when fetching endpoint metadata.
Use this endpoint with Get Image Model Endpoints before sending generation requests.

Models Get Image Model Endpoints

Get Started

Endpoint Examples

API Reference

Miscellaneous

Partner

Integrations

Overview

Authentication

Response

Fields

Example

Notes

​Overview

​Authentication

​Response

​Fields

​Example

​Notes

Overview

Authentication

Response

Fields

Example

Notes