New

Create Photorealistic AI Images, Right on Your PC

Name: 16GB VRAM Image Generator - Unleash AI Art on Your PC
Author: Z-Image-Turbo

Experience sub-second image generation with Z-Image-Turbo, the groundbreaking text-to-image model that runs smoothly on 16GB VRAM.

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Consumer Hardware Compatible

Ultra-Fast Generation

Photorealistic Quality

Z-Image-Turbo generating an image on a laptop

Why Choose Z-Image-Turbo for 16GB VRAM Systems?

Unlock the potential of AI image generation without expensive data-center infrastructure.

Sub-Second Inference

Leverage the power of the 8 NFE distillation process to generate high-quality images with sub-second inference latency, even on consumer-grade GPUs. Powered by Tongyi-MAI.

Photorealistic Output

Achieve exceptional photorealistic image generation with Z-Image-Turbo's advanced architecture and DMDR post-training, rivaling models with significantly more parameters.

Bilingual Text Rendering

Seamlessly integrate both English and Chinese text into your generated images, opening up new possibilities for multilingual content creation and cross-market campaigns.

Effortless Image Generation in Three Steps

Unleash your creativity with our streamlined text-to-image process.

Enter Your Prompt

Describe the image you envision with a detailed text prompt. Use descriptive language to guide the AI.

Generate with Z-Image-Turbo

Our model, optimized for 16GB VRAM, rapidly generates your image using only 8 NFEs and Scalable Single-Stream DiT architecture.

Download and Share

Receive your high-quality, photorealistic image ready for download and sharing. Enjoy the power of AI-driven creativity.

Frequently Asked Questions

Get answers to common questions about using Z-Image-Turbo on 16GB VRAM systems.

Z-Image-Turbo is specifically designed to run comfortably on systems with at least 16GB of VRAM, making professional-grade image generation accessible without data-center infrastructure.

Our model utilizes a Decoupled-DMD distillation algorithm, enabling ultra-fast 8-step generation. By decoupling CFG Augmentation and Distribution Matching mechanisms, we optimize performance and reduce computational steps.

While models like Qwen-Image and Hunyuan-Image-3.0 use 20B-80B parameters, Z-Image-Turbo achieves state-of-the-art image generation with only 6B parameters, offering better hardware accessibility..

For Z-Image-Turbo models, the guidance scale should be set to 0.0. These models are distilled specifically for this configuration to ensure optimal performance.