AI Image Generation API

1import requests
2
3url = "https://modelslab.com/api/v7/images/text-to-image"
4payload = {
5    "key": "YOUR_API_KEY",
6    "model_id": "flux",
7    "prompt": "professional product photo of a sneaker, studio lighting, white background",
8    "negative_prompt": "blurry, distorted, low quality",
9    "width": 1024,
10    "height": 1024,
11    "samples": 4
12}
13
14response = requests.post(url, json=payload)
15data = response.json()
16
17# data["output"] is a list of image URLs
18for i, image_url in enumerate(data["output"]):
19    print(f"Image {i + 1}: {image_url}")

1const response = await fetch('https://modelslab.com/api/v7/images/text-to-image', {
2  method: 'POST',
3  headers: { 'Content-Type': 'application/json' },
4  body: JSON.stringify({
5    key: 'YOUR_API_KEY',
6    model_id: 'flux',
7    prompt: 'professional product photo of a sneaker, studio lighting',
8    width: 1024,
9    height: 1024,
10    samples: 4
11  })
12});
13
14const data = await response.json();
15// data.output is an array of image URLs
16data.output.forEach((url, i) => console.log(`Image ${i + 1}: ${url}`));

1curl -X POST 'https://modelslab.com/api/v7/images/text-to-image' \
2  -H 'Content-Type: application/json' \
3  -d '{
4    "key": "YOUR_API_KEY",
5    "model_id": "sdxl",
6    "prompt": "a cozy coffee shop interior, warm lighting, rain on windows",
7    "width": 1024,
8    "height": 1024,
9    "samples": 1,
10    "webhook": "https://example.com/modelslab-webhook"
11  }'