Z-Image-Turbo

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Overview

Z-Image-Turbo is a highly efficient image-generation model that has topped the Artificial Analysis benchmark as the world’s No. 1 open-source text-to-image model. With just 6 billion parameters and an 8-step inference process, it generates photo-realistic images comparable to those produced by large-scale commercial models, while excelling in bilingual Chinese–English text rendering, complex semantic understanding, and diverse thematic generation.

Input

Text

Output

TextImage

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Pricing

Image Generation (Standard)
$0.015Per image
Image Generation (Thinking)
$0.03Per image

Rate Limits

RPMRequests Per Minute
120

API Reference

Call API

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curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
    "model": "z-image-turbo",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "Photo of a stylish young woman with short black hair standing confidently in front of a vibrant cartoon-style mural wall. She wears an all-black outfit: a puffed bomber jacket with a ruffled collar, cargo shorts, fishnet tights, and chunky black Doc Martens, with a gold chain dangling from her waist.  The background features four colorful comic-style panels: one reads “GRAND STAGE” and includes sneakers and a Gatorade bottle; another displays green Nike sneakers and a slice of pizza; the third reads “HARAJUKU st” with floating shoes; and the fourth shows a blue mouse riding a skateboard with the text “Takeshita WELCOME.”  Dominant bright colors include yellow, teal, orange, pink, and green. Speech bubbles, halftone patterns, and playful characters enhance the urban street-art aesthetic. Daylight evenly illuminates the scene, and the ground beneath her feet is white tiled pavement.  Full-body portrait, centered composition, slightly tilted stance, direct eye contact with the camera. High detail, sharp focus, dynamic framing."
                    }
                ]
            }
        ]
    },
    "parameters": {
        "prompt_extend": false,
        "size": "1024*1024"
    }
}'