
Z Image Base
by ModelsLabZ-Image Base Stable Diffusion model with 6B parameters and S3-DiT architecture delivers top-quality, diverse photorealistic images, supports CFG/negative prompts, LoRA training, and runs on <16GB VRAM GPUs for research and complex prompting.
z-image-baseInput
Output
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About Z Image Base
Z-Image Base Stable Diffusion model with 6B parameters and S3-DiT architecture delivers top-quality, diverse photorealistic images, supports CFG/negative prompts, LoRA training, and runs on <16GB VRAM GPUs for research and complex prompting.
Z Image Base facts
- Provider
- ModelsLab
- Price
- $0.0047 per image
- Added to ModelsLab
- February 3, 2026
- Model ID
- z-image-base
Quick Start
Integrate Z Image Base into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "z-image-base","prompt": "A highly detailed, ultra-realistic scene inside a modern McDonald’s restaurant. At the counter stands a friendly anthropomorphic creature resembling a furry monster or gentle beast. The creature has thick golden-brown fur, expressive round eyes, a wide flat nose, and a soft, friendly facial expression. It is wearing an official McDonald’s uniform: a dark grey short-sleeve button-up shirt with a red-and-yellow McDonald’s logo patch on the chest, dark trousers, and a navy-blue McDonald’s cap with the iconic yellow ‘M’. The creature has large, clawed hands covered in brown fur, and is handing over a classic McDonald’s brown takeaway bag with the yellow ‘M’ printed on it.\n","key": "YOUR_API_KEY"}try:response = requests.post(url, headers=headers, json=data)response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)result = response.json()print("API Response:")print(json.dumps(result, indent=2))except requests.exceptions.HTTPError as http_err:print(f"HTTP error occurred: {http_err} - {response.text}")except Exception as err:print(f"Other error occurred: {err}")
const endpointUrl = 'https://modelslab.com/api/v6/images/text2img';const requestBody = {"model_id": "z-image-base","prompt": "A highly detailed, ultra-realistic scene inside a modern McDonald’s restaurant. At the counter stands a friendly anthropomorphic creature resembling a furry monster or gentle beast. The creature has thick golden-brown fur, expressive round eyes, a wide flat nose, and a soft, friendly facial expression. It is wearing an official McDonald’s uniform: a dark grey short-sleeve button-up shirt with a red-and-yellow McDonald’s logo patch on the chest, dark trousers, and a navy-blue McDonald’s cap with the iconic yellow ‘M’. The creature has large, clawed hands covered in brown fur, and is handing over a classic McDonald’s brown takeaway bag with the yellow ‘M’ printed on it.\n","key": "YOUR_API_KEY"};async function makeApiRequest() {try {const response = await fetch(endpointUrl, {method: 'POST',headers: {'Content-Type': 'application/json',},body: JSON.stringify(requestBody)});if (!response.ok) {let errorResult;try {errorResult = await response.json();} catch (e) {errorResult = { error: { message: await response.text() } };}throw new Error(`API Error (${response.status}): ${errorResult.error?.message || response.statusText || 'Unknown error'}`);}const result = await response.json();console.log('API Response:', result);return result;} catch (error) {console.error('Error making API request:', error.message);throw error;}}makeApiRequest();
curl -X POST "https://modelslab.com/api/v6/images/text2img" \-H "Content-Type: application/json" \-d '{"model_id": "z-image-base","prompt": "A highly detailed, ultra-realistic scene inside a modern McDonald’s restaurant. At the counter stands a friendly anthropomorphic creature resembling a furry monster or gentle beast. The creature has thick golden-brown fur, expressive round eyes, a wide flat nose, and a soft, friendly facial expression. It is wearing an official McDonald’s uniform: a dark grey short-sleeve button-up shirt with a red-and-yellow McDonald’s logo patch on the chest, dark trousers, and a navy-blue McDonald’s cap with the iconic yellow ‘M’. The creature has large, clawed hands covered in brown fur, and is handing over a classic McDonald’s brown takeaway bag with the yellow ‘M’ printed on it.\n","key": "YOUR_API_KEY"}'
<?php$url = 'https://modelslab.com/api/v6/images/text2img';$headers = ['Content-Type: application/json'];$data = ['model_id' => 'z-image-base','prompt' => 'A highly detailed, ultra-realistic scene inside a modern McDonald’s restaurant. At the counter stands a friendly anthropomorphic creature resembling a furry monster or gentle beast. The creature has thick golden-brown fur, expressive round eyes, a wide flat nose, and a soft, friendly facial expression. It is wearing an official McDonald’s uniform: a dark grey short-sleeve button-up shirt with a red-and-yellow McDonald’s logo patch on the chest, dark trousers, and a navy-blue McDonald’s cap with the iconic yellow ‘M’. The creature has large, clawed hands covered in brown fur, and is handing over a classic McDonald’s brown takeaway bag with the yellow ‘M’ printed on it.','key' => 'YOUR_API_KEY',];$ch = curl_init();curl_setopt($ch, CURLOPT_URL, $url);curl_setopt($ch, CURLOPT_POST, true);curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);curl_setopt($ch, CURLOPT_TIMEOUT, 30);$response = curl_exec($ch);$httpCode = curl_getinfo($ch, CURLINFO_HTTP_CODE);$curlError = curl_error($ch);if ($curlError) {echo 'Curl error: ' . $curlError;} else {echo "HTTP Status Code: " . $httpCode . "\n";$result = json_decode($response, true);if (json_last_error() !== JSON_ERROR_NONE) {echo "Error decoding JSON: " . json_last_error_msg() . "\n";echo "Raw response: " . $response . "\n";} else {echo "API Response:\n";print_r($result);}}?>
Pricing
Z Image Base API costs $0.0047 per generation. Plans start at $21/month, and open-source models are unlimited on the $149/month plan. View pricing plans







