Lora

Chat GPT Ghibli

$0.035/run 661 runs
Chat GPT Ghibli
Generation time: 0s

Your result will appear here

Configure parameters and press Run, or press Ctrl - ↵ Enter.

Run the model to see raw 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' => 'chat-gpt-ghibli',
    'prompt' => 'Create a whimsical Studio Ghibli-style illustration of a serene forest village at sunrise. The scene features quaint, moss-covered cottages with curved roofs nestled among ancient, towering trees. Gentle rays of golden sunlight filter through the misty air, illuminating a winding cobblestone path. Friendly forest spirits, resembling small, fluffy creatures with glowing eyes, peek out from behind ferns and tree trunks. A young girl in a flowing dress stands on a wooden bridge over a sparkling stream, holding a lantern as she gazes at the awakening village. The color palette is soft and warm, with lush greens, earthy browns, and hints of pastel pinks and oranges in the sky. Capture the magical, nostalgic essence of a Ghibli film with intricate details and a sense of wonder.',
    '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 (chat-gpt-ghibli)
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

Pay only for what you run. Charges are deducted directly from your account balance with zero recurring commitments.

Rate per generation
$ 0.035 / generation
$35.00 per 1,000 generations
Cost Estimator
1,000 generations
Estimated Total $35.00
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