Z-Image-Turbo Now on SiliconFlow: Photorealistic & Bilingual Text Rendering

Dec 8, 2025

Today, Z-Image-Turbo — Alibaba Tongyi's latest lightweight 6B-parameter text-to-image model — is now available on SiliconFlow. Through systematic optimization and a Single-Stream Diffusion Transformer architecture, it delivers photorealistic image generation and bilingual text rendering on par with leading commercial models, proving that top-tier performance doesn't require massive model sizes.

Whether you're building creative tools, marketing assets, or visual AI applications, Z-Image-Turbo delivers the speed and precision to bring your workflow to the next level.

With SiliconFlow's Z-Image-Turbo API, you can expect:

Budget-Friendly Pricing: Z-Image-Turbo at just $0.005/image.
Extreme Efficiency: As a distilled model, it delivers top-tier performance in only 8 steps, matching or exceeding leading competitors.
Photorealistic & Bilingual: Excels in both photorealistic image generation and accurate English & Chinese text rendering, with robust adherence to complex instructions.
SOTA Performance: Powered by a Single-Stream Diffusion Transformer architecture, it achieves state-of-the-art results among open-source models on the Alibaba AI Arena (Elo-based evaluation).

Key Capabilities & Real-world Performance

Unlike traditional foundation models that rely on massive parameters for quality or struggle with specific cultural nuances, Z-Image redefines efficiency and is designed to support:

Efficient Photorealistic Quality

Z-Image-Turbo excels at producing images with photography-level realism, demonstrating fine control over details, lighting, and textures. It balances high fidelity with strong aesthetic quality in composition and overall mood.

As shown in the examples below, the model handles complex visual phenomena with remarkable accuracy — from the intricate light refraction inside ice cubes, to lifelike human features, to the subtle sheen and flowing folds of silk fabric.

All images were generated using Z-Image-Turbo on the SiliconFlow platform

Excellent Bilingual Text Rendering

It can also accurately render English and Chinese text while preserving facial realism and overall aesthetic composition, with results comparable to top-tier closed-source models. In poster design, it demonstrates strong compositional skills and a good sense of typography. It can render high-quality text even in challenging scenarios with small font sizes, delivering designs that are both textually precise and visually compelling

As shown in the posters generated with Z-Image-Turbo on the SiliconFlow platform, the model renders text with impressive clarity and style, delivering layouts that combine accurate typography with strong artistic aesthetics across editorial, realistic and cartoon-like designs.

Rich World Knowledge and Cultural Understanding

Z-Image possesses a vast understanding of world knowledge and diverse cultural concepts. This allows it to accurately generate a wide array of subjects, including famous landmarks, well-known characters, and specific real-world objects.

As demonstrated in our examples, the model captures cultural elements such as the costumes and atmosphere of the Venice Carnival, iconic objects like the Venetian gondola, as well as world-famous landmarks like the Eiffel Tower — all with impressive accuracy and stylistic fidelity.

Get Started Immediately

Explore: Try Z-Image in the SiliconFlow playground.
Integrate: Use our OpenAI-compatible API. Explore the full API specifications in the SiliconFlow API documentation.

import requests

url = "https://api.siliconflow.com/v1/images/generations"

payload = {
    "model": "Tongyi-MAI/Z-Image-Turbo",
    "prompt": "A small, adorable green frog with big round eyes gently swims through the clear blue ocean water. Sunlight beams down from above, creating shimmering ripples on the frog’s skin and the sandy ocean floor. The frog paddles its tiny legs gracefully, leaving soft trails of bubbles behind. Colorful tropical fish and coral reefs surround it, adding a vibrant and lively atmosphere. The overall style is bright, whimsical, and cinematic, with smooth, fluid motion and a playful, heartwarming mood.",
    "image_size": "1024x1024",
    "seed": 1,
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)