Ernie Image Turbo API, Ernie Image 1.0 API: Pricing, Documentation

Ernie Image Turbo API is its exceptional text rendering capability, which allows it to produce legible, layout-sensitive text in both English and Chinese for complex tasks like posters, infographics, and UI mockups. The system includes a lightweight Prompt Enhancer that automatically transforms simple user descriptions into rich, structured prompts to improve output accuracy and instruction following. Developers can access the standard model for maximum quality or a Turbo variant that is optimized for speed, delivering results roughly six times faster through efficient inference methods.

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Ernie Image Turbo API Documentation

https://gateway.pixazo.ai/ernie-image-turbo/v1/ernie-image-turbo-request

Authentication

All requests require an API key passed via header.

Header	Type	Required	Description
Ocp-Apim-Subscription-Key	string	Yes	Your API subscription key

Ernie Image Turbo generate request

Request Code

POST https://gateway.pixazo.ai/ernie-image-turbo/v1/ernie-image-turbo-request
Content-Type: application/json
Cache-Control: no-cache
Ocp-Apim-Subscription-Key: YOUR_API_KEY

{
  "prompt": "A serene mountain landscape at sunset with golden light",
  "negative_prompt": "",
  "image_size": "square_hd",
  "num_inference_steps": 8,
  "guidance_scale": 1,
  "num_images": 1,
  "enable_prompt_expansion": true,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "regular"
}

import requests

url = "https://gateway.pixazo.ai/ernie-image-turbo/v1/ernie-image-turbo-request"
headers = {
    "Content-Type": "application/json",
    "Cache-Control": "no-cache",
    "Ocp-Apim-Subscription-Key": "YOUR_API_KEY"
}
data = {
    "prompt": "A serene mountain landscape at sunset with golden light",
    "negative_prompt": "",
    "image_size": "square_hd",
    "num_inference_steps": 8,
    "guidance_scale": 1,
    "num_images": 1,
    "enable_prompt_expansion": true,
    "enable_safety_checker": true,
    "output_format": "jpeg",
    "acceleration": "regular"
}

response = requests.post(url, json=data, headers=headers)
print(response.json())

const url = "https://gateway.pixazo.ai/ernie-image-turbo/v1/ernie-image-turbo-request";
const headers = {
  "Content-Type": "application/json",
  "Cache-Control": "no-cache",
  "Ocp-Apim-Subscription-Key": "YOUR_API_KEY"
};
const data = {
  "prompt": "A serene mountain landscape at sunset with golden light",
  "negative_prompt": "",
  "image_size": "square_hd",
  "num_inference_steps": 8,
  "guidance_scale": 1,
  "num_images": 1,
  "enable_prompt_expansion": true,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "regular"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(data)
})
.then(response => response.json())
.then(data => console.log(data));

curl -X POST "https://gateway.pixazo.ai/ernie-image-turbo/v1/ernie-image-turbo-request" \
  -H "Content-Type: application/json" \
  -H "Cache-Control: no-cache" \
  -H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
  --data-raw '{
    "prompt": "A serene mountain landscape at sunset with golden light",
    "negative_prompt": "",
    "image_size": "square_hd",
    "num_inference_steps": 8,
    "guidance_scale": 1,
    "num_images": 1,
    "enable_prompt_expansion": true,
    "enable_safety_checker": true,
    "output_format": "jpeg",
    "acceleration": "regular"
}'

Output

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

Try Now

Webhook (Optional)

Add the X-Webhook-URL header to your submit request to receive a POST callback when the job completes — no polling required.

Using curl? These are HTTP request headers — pass each with -H, e.g. -H "X-Webhook-URL: https://your-server.com/webhook/callback". Do not paste them as bare lines, and end every line of a multi-line command with \.

Webhook Headers

Header	Required	Default	Description
`X-Webhook-URL`	Yes (to enable)	—	HTTPS endpoint on your server that will receive the `POST` callback. Must respond `2xx` within a few seconds (process async if needed).
`X-Webhook-Mode`	No	`terminal`	`terminal` — fires once at the final status (`COMPLETED`/`FAILED`/`ERROR`). `sync` — fires on every poll cycle plus the terminal event, and caps the queue’s polling delay at 15s for tighter progress updates.

Example: enable webhook

X-Webhook-URL: https://your-server.com/webhook/callback
X-Webhook-Mode: terminal

Callback Payload

Your endpoint receives a POST application/json with the same shape as the GET /v2/requests/status/{request_id} response. Example terminal callback (mode terminal):

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ernie-image-turbo",
  "error": null,
  "output": {
    "media_url": [
      "https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/output.jpeg"
    ],
    "media_type": "image/jpeg"
  },
  "created_at": "2026-05-22T13:17:32.110Z",
  "updated_at": "2026-05-22 13:19:23",
  "completed_at": "2026-05-22 13:19:23"
}

Failure callback shape

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ernie-image-turbo",
  "error": "Description of the error",
  "output": null,
  "created_at": "...",
  "updated_at": "...",
  "completed_at": "..."
}

Delivery semantics

terminal mode (default) — exactly one POST when the request reaches a terminal status. No callback during PROCESSING.
sync mode — POST on every status poll (with delay capped at ~15s) plus a final POST at terminal status. Use when you want progress updates.
Idempotency — use request_id as your idempotency key. Network retries can deliver the same callback more than once; your handler must tolerate duplicates.
Response — respond 200 OK within a few seconds. The queue does not block on slow handlers, but persistent failures may stop further deliveries.
HTTPS required — plain http:// URLs are rejected.

Request Parameters - Ernie Image Turbo generate request

Parameter	Required	Type	Default	Allowed values / range	Description
prompt	Yes	string	—	—	Text prompt for image generation. Supports English, Chinese, and Japanese.
negative_prompt	No	string	""	—	Content to avoid in the generated image.
image_size	No	string or object	"square_hd"	"square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9", "square_uhd", "portrait_3_2", "landscape_3_2", "portrait_hd", "landscape_hd"; or {width: number, height: number} with width/height 1–14142 (512 each by default)	Image dimensions. Pick one of the preset sizes or pass a custom object with width and height.
num_inference_steps	No	integer	8	1–20	Number of denoising steps the model runs while generating. Turbo is tuned for 8 steps; higher values refine detail but take longer, lower values are faster.
guidance_scale	No	float	1	1–20	Classifier-free guidance scale — controls how closely the output follows your prompt. Higher values stick more strictly to the prompt; lower values allow more creative variation.
num_images	No	integer	1	1–4	Number of images to generate per request.
enable_prompt_expansion	No	boolean	true	true, false	If true, the prompt is enhanced by an LLM with extra detail before generation to improve results.
enable_safety_checker	No	boolean	true	true, false	Enables NSFW safety checking on the generated images. Leave enabled unless you have a specific reason to disable it.
output_format	No	string	"jpeg"	"jpeg", "png"	Output image format.
acceleration	No	string	"regular"	"none", "regular", "high"	Acceleration level used for image generation. Higher acceleration is faster, at some cost to quality.
seed	No	integer	—	—	Random seed that controls the generation's randomness. Reuse the same seed with identical settings to reproduce the same result; leave it empty for a different output each time.
sync_mode	No	boolean	false	true, false	If true, the finished image is returned directly (as a data URI) instead of as a download link. Handy for quick tests; for normal use, leave it off to get a download link.

Example Request

{
  "prompt": "A serene mountain landscape at sunset with golden light",
  "negative_prompt": "",
  "image_size": "square_hd",
  "num_inference_steps": 8,
  "guidance_scale": 1,
  "num_images": 1,
  "enable_prompt_expansion": true,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "regular"
}

Response

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

Request Headers

Header	Value
Content-Type	application/json
Cache-Control	no-cache
Ocp-Apim-Subscription-Key	YOUR_API_KEY

Response Handling

Common status codes.

Code	Meaning
202	Accepted — Request queued
400	Bad Request
401	Unauthorized
402	Insufficient Balance
403	Forbidden
429	Too Many Requests
500	Internal Server Error

Error Responses

Queue system errors and model validation errors.

Queue System Errors

// 402 — Insufficient balance
{
  "error": "Insufficient Balance",
  "message": "Your wallet does not have enough balance."
}

// 400 — Model not found
{
  "error": "Model not found",
  "message": "Model 'ernie-image-turbo' not found or is disabled"
}

Error via Status/Webhook

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ernie-image-turbo",
  "error": "Description of the error",
  "output": null
}

Retrieving Results

Poll the universal status endpoint to check progress and retrieve results.

Endpoint

GET https://gateway.pixazo.ai/v2/requests/status/{request_id}
Ocp-Apim-Subscription-Key: YOUR_API_KEY

cURL Example

curl -H "Ocp-Apim-Subscription-Key: YOUR_API_KEY" \
  "https://gateway.pixazo.ai/v2/requests/status/ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"

Response (Completed)

{
  "request_id": "ernie-image-turbo_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ernie-image-turbo",
  "error": null,
  "output": {
    "media_url": ["https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ernie-image-turbo_019dxxxx/output.jpeg"],
    "media_type": "image/jpeg"
  },
  "created_at": "2026-03-31T10:00:00.000Z",
  "updated_at": "2026-03-31T10:00:15.000Z",
  "completed_at": "2026-03-31T10:00:15.000Z"
}

Response Fields

Field	Type	Description
request_id	string	Unique request identifier
status	string	QUEUED, PROCESSING, COMPLETED, FAILED, or ERROR
model_id	string	Model that processed the request
error	string\|null	Error message if failed
output.media_url	array	URLs to generated media (R2 CDN)
output.media_type	string	MIME type of the output
created_at	string	When request was created
completed_at	string	When request completed
polling_url	string	Status URL (initial response only)

Status Values

Status	Description
QUEUED	Request accepted, waiting to be processed
PROCESSING	Being processed by the model
COMPLETED	Done — output contains the result
FAILED	Failed — check error field
ERROR	System error — not charged

Status Flow

QUEUED → PROCESSING → COMPLETED
                    → FAILED
                    → ERROR

Typical Workflow

Send a generate request to the API endpoint
Save the request_id from the response
Poll every 5-10 seconds: GET /v2/requests/status/{request_id}
When status is "COMPLETED", download from output.media_url

Tip: Use X-Webhook-URL header to get a callback instead of polling.

Ernie Image Turbo API Pricing

Resolution	Price (USD)
Per image	$0.03

2. Ernie Image 1.0

Ernie Image 1.0 API Documentation

https://gateway.pixazo.ai/ernie-image/v1/ernie-image-request