turbo

Name: Z-Image Turbo
Author: tongyi-mai

High-speed 6B parameter text-to-image generation optimized for cost efficiency and volume. Produces up to 4MP images in an 8-step pipeline suitable for rapid prototyping.

0.005 per megapixel of image

Input

Prompt

STYLE:

Premium 3D render, modern SaaS aesthetic, highly polished

Glassmorphism, frosted acrylic materials, and smooth matte polymers

Soft holographic and iridescent color bleeds inside the glass elements

Clean, minimalist, corporate futuristic tech vibe

Flawless, ultra-smooth surfaces with soft, rounded geometric edges

Octane render, Unreal Engine 5 style, hyper-detailed but visually clean

No text, no letters, no numbers, no logos, no watermark, no messy details

CANVAS / COMPOSITION:

1:1 square thumbnail

Centered hero object with a strong, highly readable silhouette

Subject occupies ~60% of the frame, surrounded by generous, clean negative space

Background is a sleek dark mode gradient (deep charcoal or dark twilight blue) with a subtle, soft-focus ambient glow behind the subject

High contrast between the luminous subject and the dark, clean background

SUBJECT:

A sleek robotic eye

TEXTURE / LIGHTING / ACTION KEYWORDS:
Texture: frosted glass, matte silicone, transparent acrylic, glossy, flawless, smooth
Lighting: subsurface scattering, soft studio lighting, neon rim light, glowing internals, holographic reflections
Action: hovering, levitating, balanced, perfectly still

MATERIAL REFRACTION RULE:

Simulate depth and high-end tech via internal glass refractions and soft glowing cores

Do NOT use heavy grunge, dirt, or gritty textures; everything must remain pristine, sterile, and premium

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.

Number of Inference Steps

Min: 1 - Max: 8

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.

You need to be logged in to run this model and view results.

Output

{
  "error": "",
  "inferenceTime": 1014,
  "output": [
    "https://media.modelrunner.ai/zxPUsk9GhkuMCzc3qpqHi.png"
  ],
  "input": {
    "seed": 0,
    "prompt": "STYLE:\n\nPremium 3D render, modern SaaS aesthetic, highly polished\n\nGlassmorphism, frosted acrylic materials, and smooth matte polymers\n\nSoft holographic and iridescent color bleeds inside the glass elements\n\nClean, minimalist, corporate futuristic tech vibe\n\nFlawless, ultra-smooth surfaces with soft, rounded geometric edges\n\nOctane render, Unreal Engine 5 style, hyper-detailed but visually clean\n\nNo text, no letters, no numbers, no logos, no watermark, no messy details\n\nCANVAS / COMPOSITION:\n\n1:1 square thumbnail\n\nCentered hero object with a strong, highly readable silhouette\n\nSubject occupies ~60% of the frame, surrounded by generous, clean negative space\n\nBackground is a sleek dark mode gradient (deep charcoal or dark twilight blue) with a subtle, soft-focus ambient glow behind the subject\n\nHigh contrast between the luminous subject and the dark, clean background\n\nSUBJECT:\n\nA sleek robotic eye\n\nTEXTURE / LIGHTING / ACTION KEYWORDS:\nTexture: frosted glass, matte silicone, transparent acrylic, glossy, flawless, smooth\nLighting: subsurface scattering, soft studio lighting, neon rim light, glowing internals, holographic reflections\nAction: hovering, levitating, balanced, perfectly still\n\nMATERIAL REFRACTION RULE:\n\nSimulate depth and high-end tech via internal glass refractions and soft glowing cores\n\nDo NOT use heavy grunge, dirt, or gritty textures; everything must remain pristine, sterile, and premium",
    "image_size": "landscape_4_3",
    "num_images": 1,
    "acceleration": "regular",
    "output_format": "png",
    "num_inference_steps": 8,
    "enable_safety_checker": false
  },
  "logs": "Generated 1 output(s)"
}

Generated in 1.014 seconds

Logs (1 lines)

Examples

Model Details

Tongyi-MAI's Z-Image Turbo is a streamlined text-to-image generation model engineered for speed and economic scalability. Built on a 6-billion parameter architecture, it prioritizes throughput without sacrificing essential visual coherence. By compressing the diffusion process into a maximum of 8 inference steps, this model significantly reduces generation time compared to standard architectures that typically require 20 to 50 steps.

### Capabilities and Features

This model is specifically tuned for high-volume production environments. Users can generate images with resolutions up to 4 megapixels, supporting various aspect ratios from square to wide landscape. The 8-step pipeline is fully configurable; users can lower the step count to as few as 1 for ultra-fast thumbnail generation or utilize the full 8 steps for final production assets.

**Key benefits include:**

* **Rapid Iteration:** Support for batch sizes up to 4 images per request allows for quick side-by-side comparison of prompts and seeds. * **Flexible Output:** Customize image dimensions via standard presets (e.g., `landscape_4_3`) or specific pixel counts, with support for JPEG, PNG, and WebP formats. * **Cost-Effective Scaling:** The lightweight architecture makes it ideal for applications requiring thousands of assets, such as dynamic content generation or A/B testing visuals.

### When to use this model

Choose Z-Image Turbo when speed and volume are the primary constraints. It excels at rapid prototyping, storyboarding, and generating content variations where cost-per-pixel is a critical metric. While it offers robust prompt adherence, users requiring pixel-perfect photorealism or complex spatial reasoning might prefer larger, slower models.

To run via ModelRunner javascript client, use the following code:

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

const result = await modelrunner.subscribe('tongyi-mai/z-image/turbo', { input: { prompt: "Cinematic shot of a futuristic cyberpunk street, neon lights, rain on pavement, highly detailed", image_size: "landscape_16_9", num_inference_steps: 8, num_images: 1, enable_safety_checker: true, output_format: "png" } }); ```

tongyi-mai / z-image/turbo

Model Input

Input

Additional Settings

Model Output

Output

Model Example Requests

Examples

Model Details

Model Details