Military Artillery K9

Run the model to see results

Generation time: 0s

Run the model to see JSON response

API Endpoint

POST https://lumozai.com/api/v4/run

Use this endpoint to run the model with your parameters. Authentication is required using your API key.

Sample Code (PHP cURL)

<?php
// API endpoint URL
$apiUrl = 'https://lumozai.com/api/v4/run';

// Your API key
$apiKey = 'YOUR_API_KEY';

// Model parameters
$params = [
    'model_id' => military-artillery-k9,
    'prompt' => 'battle,  self-propelled artillery \'K9\'',
    'aspect_ratio' => '1:1',
    'prompt_strength' => 0.8,
    'num_inference_steps' => 28,
    'guidance' => 3,
    'seed' => '',
    'output_format' => 'webp',
    'output_quality' => 80,
    'lora_scale' => 1,
    'megapixels' => '1',
];

// Initialize cURL session
$curl = curl_init();

// Set cURL options
curl_setopt_array($curl, [
    CURLOPT_URL => $apiUrl,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => $params,
    CURLOPT_HTTPHEADER => [
        'Accept: application/json',
        'Authorization: Bearer ' . $apiKey
    ]
]);

// Execute the request
$response = curl_exec($curl);
$httpCode = curl_getinfo($curl, CURLINFO_HTTP_CODE);

// Check for errors
if (curl_errno($curl)) {
    echo 'cURL Error: ' . curl_error($curl);
} else {
    // Process the response
    $result = json_decode($response, true);
    
    if ($httpCode == 200 && isset($result['success']) && $result['success']) {
        // Handle successful response
        echo "Model output: ";
        print_r($result['data']['output']);
    } else {
        // Handle error response
        echo "Error: " . ($result['message'] ?? 'Unknown error');
    }
}

// Close cURL session
curl_close($curl);

Request Parameters

Parameter	Type	Required	Description
model_id	string	Required	The ID of the model to run (military-artillery-k9)
api_key	string	Required	Your API key for authentication (sent via Bearer token in the Authorization header)
prompt	string	Required	Describe what you want to generate
aspect_ratio	string	Required	Aspect ratio for the generated image
prompt_strength	number	Optional	Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
num_inference_steps	number	Optional	Number of denoising steps. Recommended range is 28-50, and lower number of steps produce lower quality outputs, faster.
guidance	number	Optional	Guidance for generated image
seed	array	Optional	Random seed. Set for reproducible generation
output_format	string	Optional	Format of the output images
output_quality	number	Optional	Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
lora_scale	number	Optional	Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value.
megapixels	string	Optional	Approximate number of megapixels for generated image

Response Format

{
    "success": true,
    "data": {
        "output": "https://lumozai.com/storage/outputs/image_12345.jpg"
    }
}

Model Pricing

Usage Cost

$0.035 Cost Per Generation

Cost Per Generation is a pricing model where you’re charged based on each individual output the model generates. Instead of billing for compute time, you pay a fixed cost for every generation request, regardless of how long it takes. This makes costs predictable since each generated result incurs its own set rate.

Features Included:

Full API access
Web UI usage
Output in multiple formats
Commercial usage rights

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Note: Pricing is subject to change. For bulk usage or custom packages, please contact us.