base

Name: Z-Image Base
Author: tongyi-mai

Generate high-quality, stylistically diverse images with precise prompt adherence using the Z-Image foundation model.

0.01 per megapixel of image

Input

Prompt

The prompt to generate an image from.

Image Size

Width

Height

The size of the generated image.

Additional Settings

Customize your input with more control.

Num Inference Steps

Min: 1 - Max: 50

The number of inference steps to perform.

Seed

The same seed and the same prompt given to the same version of the model will output the same image every time.

Number of Images

Min: 1 - Max: 4

The number of images to generate.

Enable Safety Checker

Safety checker can only be disabled on API call

Output Format

The format of the generated image.

Acceleration

The acceleration level to use.

Guidance Scale

Min: 1 - Max: 20

The guidance scale to use for the image generation.

Negative Prompt

The negative prompt to use for the image generation.

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Output

{
  "error": "",
  "inferenceTime": 7196,
  "output": [
    "https://media.modelrunner.ai/QULNFZJfmbVsj7JPxNIPa.jpeg",
    "https://media.modelrunner.ai/xbsVf1CRHWKlCcKnS7uF1.jpeg"
  ],
  "input": {
    "seed": 987654321,
    "prompt": "A serene and ancient library carved directly into the trunk of a giant living oak tree. Sunlight filters through the dense canopy of emerald leaves above, casting dappled patterns on the polished wooden floorboards inside. Shelves formed from interwoven living branches are filled with leather-bound books and glowing crystal orbs. A small, circular window looks out onto a misty valley filled with wildflowers. In the center of the room, a comfortable armchair upholstered in moss-green velvet sits beside a floating lantern that provides warm, golden light. Dust motes dance in the quiet air, creating a magical and peaceful atmosphere suited for deep study and contemplation.",
    "image_size": {
      "width": 768,
      "height": 1024
    },
    "num_images": 2,
    "acceleration": "regular",
    "output_format": "jpeg",
    "guidance_scale": 6,
    "negative_prompt": "blurry, low resolution, distortion, ugly, text, watermark, bad anatomy, deformed",
    "num_inference_steps": 35,
    "enable_safety_checker": true
  },
  "logs": "Generated 2 output(s)"
}

Generated in 7.196 seconds

Logs (1 lines)

Examples

Model Details

Z-Image Base is a foundational text-to-image generation model designed to deliver high-quality visuals with robust diversity and broad stylistic coverage. As the core of the Z-Image family, this model is engineered to interpret prompts with high precision, making it an ideal tool for creators looking to translate detailed textual descriptions into coherent and aesthetically pleasing images. Whether you are generating concept art, marketing assets, or illustrative content, Z-Image Base aims to respect the nuances of your input while maintaining structural consistency.

Key capabilities of this model include handling complex scene descriptions and offering a wide range of artistic styles. Users can interact with the model directly through the application UI to generate images and download the results immediately. The model supports various configuration options to fine-tune the output, allowing for control over aspect ratios, inference steps, and guidance scales.

**Input Configurations** To get the best results, users can adjust several parameters: * **Prompt**: The primary text description (e.g., "Grandmother knitting by a window"). * **Image Size**: Select from standard aspect ratios like `landscape_4_3`, `square`, or `portrait_16_9` to fit your composition needs. * **Inference Steps**: Control the quality-speed trade-off. The default is 28 steps, but it ranges from 1 to 50. * **Guidance Scale**: Determines how strictly the model follows the prompt. The default is 4. * **Negative Prompt**: Specify elements to exclude from the image.

**Example Usage** To run this model using the ModelRunner JavaScript client, utilize the following code snippet. This example demonstrates a standard generation request with specific sizing and quality settings.

```javascript import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("tongyi-mai/z-image/base", { input: { prompt: "Grandmother knitting by a window, an empty chair by her", image_size: "landscape_4_3", num_inference_steps: 28, num_images: 1, enable_safety_checker: true, output_format: "png", acceleration: "regular", guidance_scale: 4, negative_prompt: "blurry, low quality, distorted" } });

console.log(result); ```

tongyi-mai / z-image/base

Model Input

Input

Additional Settings

Model Output

Output

Model Example Requests

Examples

Model Details

Model Details