Z-Image-Turbo: Sub-Second 8-Step Generation for Enterprise Speed

Unlock commercial-grade throughput with Z-Image-Turbo. Engineered for efficiency, this model delivers state-of-the-art photorealism and bilingual text rendering using just 8 Function Evaluations (NFEs), fitting perfectly on consumer GPUs.

Image Model(*)

Output Quality:

medium

high

Upload Image (Up to 9)

Prompt(*)

0/2000

Image Style

The generated image will appear here.

You can view your photos from the "My Creations" menu.

Hyper-Fast 8-Step Inference

Revolutionize your workflow with speed. Z-Image-Turbo is a distilled variant that slashes inference time by requiring only 8 sampling steps (NFEs) to produce high-fidelity results. Experience sub-second latency on H800 GPUs and rapid generation on standard consumer hardware, making it arguably the #1 open-source model for efficiency.

Precise Image-to-Image Transformation

Transform existing visuals with unmatched economy. Z-Image-Turbo excels at Image-to-Image tasks, allowing you to modify style, composition, or details while preserving the original structure. With adjustable denoising strength (0.0-1.0), it supports product variant generation and rapid style transfer at a fraction of the cost of larger models.

Superior Bilingual Text Rendering

Break language barriers in generative art. Z-Image-Turbo demonstrates exceptional capability in rendering complex text in both English and Chinese. Whether you need poster designs, logos, or captioned illustrations, the model adheres strictly to text instructions, reducing the need for post-process editing.

Photorealistic Quality at Low VRAM

High quality no longer requires a render farm. Despite being a distilled model, Z-Image-Turbo maintains a 6B parameter architecture that fits comfortably within 16GB VRAM devices. It delivers photorealistic textures, correct lighting, and aesthetic fidelity that rivals much larger models, ranked highly on the Artificial Analysis Leaderboard.

Cost-Effective Scalability

Built for high-volume production. With an estimated cost of ~$0.005 per megapixel (via providers like fal.ai), Z-Image-Turbo is 10-15x more cost-effective than premium alternatives. Its ability to batch process up to 4 images per request makes it the ideal engine for startups and developers needing to scale asset generation without breaking the bank.

Ideal Scenarios for Z-Image-Turbo

Z-Image-Turbo is optimized for scenarios where speed, throughput, and hardware efficiency are paramount, without sacrificing visual fidelity.

Rapid Prototyping

Iterate through concepts instantly. With 8-step generation, designers can produce hundreds of variations in minutes to find the perfect direction before finalizing assets.

E-Commerce Virtual Try-On

Power product visualizations and virtual try-ons. Use the Image-to-Image capability to change garment colors or backgrounds while keeping the model's pose intact.

Real-Time AI Applications

Integrate into interactive apps. The sub-second inference latency makes Z-Image-Turbo suitable for real-time user interaction tools, drawing assistants, or dynamic game assets.

Bilingual Marketing Material

Create global advertising content. Leverage the robust Chinese and English text rendering to generate banners and social media posts that require accurate typography.

High-Volume Asset Generation

Scale your content production. Perfect for SEO blog images, thumbnail creation, and bulk stock asset generation where cost-per-image is a critical factor.

Consumer Hardware Deployment

Run locally on standard gaming PCs. Because it fits in 16GB VRAM, independent developers can deploy Z-Image-Turbo without needing expensive H100 clusters.

How to Use Z-Image-Turbo Efficiently

Step 1

Prompt & Input

Enter a descriptive text prompt (English or Chinese). For Image-to-Image tasks, upload your reference image. Z-Image-Turbo relies heavily on the positive prompt as it does not typically use CFG or negative prompts.

Step 2

Configure for Speed

Set your Inference Steps to 8 (default) for the best balance of speed and quality. If using Image-to-Image, adjust the 'Strength' (0.0 to 1.0) to control how much the output diverges from the source.

Step 3

Generate Instant Results

Hit Generate. Thanks to the distilled architecture, your image will render in seconds. Use batching (up to 4 images) to quickly A/B test different styles or variations in a single run.