Z.ai Image

POST

tasks

Z.ai Image

curl --request POST \
  --url https://www.qingbo.dev/v1/tasks \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "action": "<string>",
  "prompt": "<string>",
  "n": 123,
  "seed": 123,
  "aspect_ratio": "<string>",
  "resolution": "<string>",
  "callback_url": "<string>",
  "callback_events": [
    "<string>"
  ],
  "prompt_extend": true
}
'

import requests

url = "https://www.qingbo.dev/v1/tasks"

payload = {
    "model": "<string>",
    "action": "<string>",
    "prompt": "<string>",
    "n": 123,
    "seed": 123,
    "aspect_ratio": "<string>",
    "resolution": "<string>",
    "callback_url": "<string>",
    "callback_events": ["<string>"],
    "prompt_extend": True
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    action: '<string>',
    prompt: '<string>',
    n: 123,
    seed: 123,
    aspect_ratio: '<string>',
    resolution: '<string>',
    callback_url: '<string>',
    callback_events: ['<string>'],
    prompt_extend: true
  })
};

fetch('https://www.qingbo.dev/v1/tasks', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.qingbo.dev/v1/tasks"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"seed\": 123,\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ],\n  \"prompt_extend\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://www.qingbo.dev/v1/tasks")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"seed\": 123,\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ],\n  \"prompt_extend\": true\n}")
  .asString();

{
  "task_id": "task-wave1775285160b950328499",
  "model": "z-image-turbo",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

Lightweight and fast image generation from Zhipu Z.ai, with strong support for both Chinese and English prompts. Low latency, low price — suited for high-frequency scenarios like batch sketches, operations creatives, and quick previews. Per-image pricing. Pure text-to-image (no reference images), fixed at 1 image per call.

Pricing

Model	Price (per image)
`z-image-turbo`	`$0.010625`

Examples

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-image-turbo",
    "prompt": "Seaside cafe at sunset, wooden deck, warm tones",
    "aspect_ratio": "16:9",
    "resolution": "1K"
  }'

curl -X POST https://www.qingbo.dev/v1/tasks \
  -H "Authorization: Bearer $WAVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-image-turbo",
    "prompt": "A Shiba Inu",
    "prompt_extend": true,
    "aspect_ratio": "1:1",
    "resolution": "2K"
  }'

{
  "task_id": "task-wave1775285160b950328499",
  "model": "z-image-turbo",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

After submission, poll status with GET /v1/tasks/{task_id}. See Task System for details.

Available Models

Model ID	Description
`z-image-turbo`	Lightweight and fast, bilingual, 1K/2K, pure text-to-image (no reference images)

Common Parameters

string

required

Choose one from the Available Models list

string

default:"generate"

Operation type. z-image-turbo only supports generate (text-to-image)

string

required

Image description. Strong support for both Chinese and English. Max 800 characters

integer

default:"1"

Number of images. This model is fixed at 1 image per call; n > 1 is not supported

integer

default:"-1"

Random seed. -1 for random; a fixed value reproduces similar results

string

default:"1:1"

Aspect ratio. Options:

1:1 — Square
4:3 / 3:4 — Standard landscape / portrait
16:9 / 9:16 — Widescreen landscape / portrait
3:2 / 2:3 — Camera ratio landscape / portrait

string

default:"1K"

Output resolution. Options: 1K / 2K

string

Webhook callback URL, invoked when the task reaches a terminal state. See Callback Mechanism

string[]

Events to receive callbacks for. Defaults to terminal events only. See Callback Mechanism

Model-Specific Parameters

boolean

default:"false"

Smart prompt rewrite. When enabled, AI auto-optimizes the prompt for better results, but adds extra cost

Notes

Single image per call — n is fixed at 1; submit multiple tasks for multiple images
Prompt limit 800 characters — trim long prompts yourself
Enabling prompt_extend increases cost — AI rewrite consumes extra inference cost; enable selectively for batch scenarios
Pure text-to-image — does not accept image_urls reference images; use other models for image-to-image

Resource Limits

Item	Limit
Images per call	Fixed at 1
Prompt length	≤ 800 characters
Output resolution	`1K` / `2K`
Output file	JPG, URL valid for 24 hours

Task System — Task state machine / polling cadence / async push
Request & Response — Common error codes / Headers / rate limits
Authentication — API Key application and usage

Z.ai Image

curl --request POST \
  --url https://www.qingbo.dev/v1/tasks \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "action": "<string>",
  "prompt": "<string>",
  "n": 123,
  "seed": 123,
  "aspect_ratio": "<string>",
  "resolution": "<string>",
  "callback_url": "<string>",
  "callback_events": [
    "<string>"
  ],
  "prompt_extend": true
}
'

import requests

url = "https://www.qingbo.dev/v1/tasks"

payload = {
    "model": "<string>",
    "action": "<string>",
    "prompt": "<string>",
    "n": 123,
    "seed": 123,
    "aspect_ratio": "<string>",
    "resolution": "<string>",
    "callback_url": "<string>",
    "callback_events": ["<string>"],
    "prompt_extend": True
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    action: '<string>',
    prompt: '<string>',
    n: 123,
    seed: 123,
    aspect_ratio: '<string>',
    resolution: '<string>',
    callback_url: '<string>',
    callback_events: ['<string>'],
    prompt_extend: true
  })
};

fetch('https://www.qingbo.dev/v1/tasks', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://www.qingbo.dev/v1/tasks"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"seed\": 123,\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ],\n  \"prompt_extend\": true\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://www.qingbo.dev/v1/tasks")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"action\": \"<string>\",\n  \"prompt\": \"<string>\",\n  \"n\": 123,\n  \"seed\": 123,\n  \"aspect_ratio\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"callback_url\": \"<string>\",\n  \"callback_events\": [\n    \"<string>\"\n  ],\n  \"prompt_extend\": true\n}")
  .asString();

{
  "task_id": "task-wave1775285160b950328499",
  "model": "z-image-turbo",
  "action": "generate",
  "status": "queued",
  "created_at": 1775285160040,
  "progress": 0
}

Text Generation

Image Generation

Video Generation

Audio

Tools & Embeddings

Task Management

Pricing

Examples

Available Models

Common Parameters

Model-Specific Parameters

Notes

Resource Limits

​Pricing

​Examples

​Available Models

​Common Parameters

​Model-Specific Parameters

​Notes

​Resource Limits

​Related Docs

Pricing

Examples

Available Models

Common Parameters

Model-Specific Parameters

Notes

Resource Limits

Related Docs