Image Models

Image Models

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

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://nano-gpt.com/api/v1/image-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/image-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))

}

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/v1/image-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

image-models

Image Models

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

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://nano-gpt.com/api/v1/image-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/image-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))

}

require 'uri'
require 'net/http'

url = URI("https://nano-gpt.com/api/v1/image-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/image-models to discover the currently available image models and their capabilities. Do not hardcode image model capability tables in your client; model availability and supported parameters can change. For new integrations using the normalized Image API, prefer GET /api/v1/images/models. That newer route returns model-specific supported_parameters, endpoint metadata links, and input-reference capabilities for use with POST /api/v1/images. This endpoint is cacheable. Refresh it periodically and handle new fields as additive.

Endpoint

GET https://nano-gpt.com/api/v1/image-models

Authentication

Authentication is optional.

Authorization: Bearer YOUR_API_KEY
x-api-key: YOUR_API_KEY

Query Parameters

Parameter	Type	Default	Description
`detailed`	boolean	`true`	Include names, descriptions, pricing, capabilities, and supported parameters.

Response

{
  "object": "list",
  "data": [
    {
      "id": "pruna-ai/p-image/text-to-image",
      "object": "model",
      "created": 1778544000,
      "owned_by": "prunaai",
      "name": "P-Image",
      "description": "Fast text-to-image generation for low-cost drafts, social visuals, and rapid creative iteration.",
      "architecture": {
        "modality": "text->image",
        "input_modalities": ["text"],
        "output_modalities": ["image"]
      },
      "pricing": {
        "per_image": {
          "1024*1024": 0.005,
          "1376*768": 0.005
        },
        "currency": "USD"
      },
      "capabilities": {
        "image_generation": true,
        "image_to_image": false,
        "inpainting": false,
        "nsfw": false
      },
      "supported_parameters": {
        "resolutions": ["1024x1024", "1376x768", "1184x896"],
        "max_images": 4
      },
      "icon_url": "/icons/PrunaAI.svg",
      "tags": ["text-to-image", "prunaai", "wavespeed"],
      "category": "image"
    }
  ],
  "meta": {
    "count": 169,
    "generated_at": "2026-05-14T00:00:00.000Z"
  }
}

Supported Parameters

Supported parameters vary by model. Common fields include:

resolutions: array of supported resolution values for this model.
max_images: maximum number of images that can be requested at once.
rendering_speed: available rendering speed values, when the model exposes speed tiers.
fixed_image_count: fixed output count for models that do not allow custom n.

Use supported_parameters.resolutions to populate resolution or size controls. Treat the values as model-specific strings. Most image generation models use pixel dimensions such as 1024x1024, but some models use values such as auto, aspect ratios, quality tiers, or scale factors. Use the model’s supported_parameters and capabilities objects to decide which controls to show and which request fields to send.

Fields

Field	Type	Description
`id`	string	Model ID to pass to image generation or image editing endpoints.
`object`	string	Always `model`.
`created`	integer	Unix timestamp derived from the model’s added date.
`owned_by`	string	Provider or owner identifier.
`name`	string	Human-readable model name.
`description`	string	Short model description.
`architecture`	object	Modality metadata, including input and output modalities.
`pricing`	object	USD pricing metadata. Shape can vary by model.
`capabilities`	object	Feature flags such as `image_generation`, `image_to_image`, and `inpainting`.
`capabilities.nsfw`	boolean	Whether the model is uncensored / NSFW-capable.
`supported_parameters`	object	Model-specific parameters such as sizes, counts, quality settings, seeds, or image input controls.
`supported_parameters.resolutions`	string[]	Model-specific supported output resolution values. Usually pixel dimensions like `1024x1024`; may also be symbolic values such as `auto` or model-specific scale factors.
`supported_parameters.max_images`	integer	Maximum number of images the model supports per request.
`supported_parameters.rendering_speed`	string[]	Optional list of rendering speed tiers. Present only for models that expose speed choices.
`supported_parameters.fixed_image_count`	integer	Optional fixed output image count. Present when the model always returns a fixed number of images.
`icon_url`	string	Optional provider icon path.
`tags`	string[]	Optional model tags.
`category`	string	Model category. Usually `image`.

supported_parameters, including supported_parameters.resolutions, is included only in detailed responses. detailed=true is the default. If you pass detailed=false, each item may include only basic identifiers such as id, object, created, and owned_by.

Example

curl "https://nano-gpt.com/api/v1/image-models?detailed=true" \
  -H "Authorization: Bearer $NANOGPT_API_KEY"

Notes

Supported parameters vary by model.
Use this endpoint instead of hardcoding media model capabilities.
The response is cacheable, but model availability can change.
Pricing values are in USD unless otherwise documented in the response.

Get Started

Endpoint Examples

API Reference

Miscellaneous

Partner

Integrations

Overview

Endpoint

Authentication

Query Parameters

Response

Supported Parameters

Fields

Example

Notes

​Overview

​Endpoint

​Authentication

​Query Parameters

​Response

​Supported Parameters

​Fields

​Example

​Notes

Overview

Endpoint

Authentication

Query Parameters

Response

Supported Parameters

Fields

Example

Notes