--- title: Z Image Base API | Text to Image | ModelsLab description: Z-Image Base Stable Diffusion model with 6B parameters and S3-DiT architecture delivers top-quality, diverse photorealistic images, supports. url: https://modelslab.com/models/modelslab/z-image-base.md canonical: https://modelslab.com/models/modelslab/z-image-base.md type: product component: Playground/Endpoint/Index generated_at: 2026-04-16T21:14:39.686984Z --- [![Z Image Base thumbnail](https://modelslab.com/images/logo-favicon.png)](https://modelslab.com/models/modelslab)Z Image Base --- [by Modelslab](https://modelslab.com/models/modelslab)**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` Open Source Model [Unlimited Usage](https://modelslab.com/pricing) [LLMs.txt](https://modelslab.com/models/modelslab/z-image-base/llms.txt) [API Playground](/models/modelslab/z-image-base) [API Documentation](/models/modelslab/z-image-base/api)Vibe CodeRelated ModelsDeveloper SupportModel Specs Input --- 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. Width Height Number of Images Add FundsLogin to Generate Per image generation will cost **$0.0047** **For premium plan image generation** will **cost 0.00$** i.e **Free.** Output --- Idle Unknown content type Related Models --- Discover similar models you might be interested in [View all Models](https://modelslab.com/models) [![shencai](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/d961e924-7a79-481f-8152-54d00c340fcf-0.png)](https://modelslab.com/models/modelslab/shencai)[ModelsLab](https://modelslab.com/models/modelslab) [shencai Open Source Model](https://modelslab.com/models/modelslab/shencai) [![helloFlatColorful2D - helloFlatColorful2D_v1.2](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/656f086d-48ce-494e-ac12-04fd8b94cc21/width=768/1656501.jpeg)Popular](https://modelslab.com/models/modelslab/helloflatcolorful2d-helloflatcolorful2dv12)[ModelsLab](https://modelslab.com/models/modelslab) [helloFlatColorful2D - 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Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v6/images/text2img" headers = { "Content-Type": "application/json" } data = { "model_id": "z-image-base", "prompt": "your prompt here", "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}") ``` View the [full API documentation](https://modelslab.com/models/modelslab/z-image-base/api) for SDKs, code examples in Python, JavaScript, and more. ### Pricing Z Image Base API costs $0.0047 per generation. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) [Browse All Models](https://modelslab.com/models) [More from Modelslab](https://modelslab.com/models/modelslab) [View Pricing](https://modelslab.com/pricing) Z Image Base FAQ --- ### What is 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. ### How do I use the Z Image Base API? You can integrate Z Image Base into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "z-image-base" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Z Image Base cost? Z Image Base costs $0.0047 per generation. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Z Image Base model ID? The model ID for Z Image Base is "z-image-base". Use this ID in your API requests to specify this model. ### Does Z Image Base have a free tier? Yes, ModelsLab offers a free tier that lets you try Z Image Base and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-04-17*