Pixazo APIModelsErnie Image
Pixazo APIModelsErnie Image

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

by Baidu

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 API

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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.

HeaderTypeRequiredDescription
Ocp-Apim-Subscription-KeystringYesYour 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"
}

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

HeaderRequiredDefaultDescription
X-Webhook-URLYes (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-ModeNoterminalterminal — 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 modePOST 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
promptYesstringText prompt for image generation. Supports English, Chinese, and Japanese.
negative_promptNostring""Content to avoid in the generated image.
image_sizeNostring 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}Image dimensions. String options or custom object with width and height.
num_inference_stepsNointeger8Number of denoising steps. Turbo model is optimized for 8 steps.
guidance_scaleNofloat1Prompt adherence strength. Higher values increase adherence to prompt at potential cost of image quality.
num_imagesNointeger1Number of images to generate per request.
enable_prompt_expansionNobooleantrueEnable LLM-based prompt enhancement for richer, more detailed prompts.
enable_safety_checkerNobooleantrueEnable NSFW content filtering.
output_formatNostring"jpeg""jpeg", "png"Output image format.
accelerationNostring"regular""none", "regular", "high"Inference acceleration mode.
seedNointegerRandom seed for reproducible results. If omitted, a random seed is used.
sync_modeNobooleanIf `true`, returns image data URIs instead of CDN URLs. If `false` or omitted, returns CDN URLs.

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-Typeapplication/json
Cache-Controlno-cache
Ocp-Apim-Subscription-KeyYOUR_API_KEY

Response Handling

Common status codes.

CodeMeaning
202Accepted — Request queued
Bad Request
401Unauthorized
402Insufficient Balance
403Forbidden
Too Many Requests
500Internal 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

FieldTypeDescription
request_idstringUnique request identifier
statusstringQUEUED, PROCESSING, COMPLETED, FAILED, or ERROR
model_idstringModel that processed the request
errorstring|nullError message if failed
output.media_urlarrayURLs to generated media (R2 CDN)
output.media_typestringMIME type of the output
created_atstringWhen request was created
completed_atstringWhen request completed
polling_urlstringStatus URL (initial response only)

Status Values

StatusDescription
QUEUEDRequest accepted, waiting to be processed
PROCESSINGBeing processed by the model
COMPLETEDDone — output contains the result
FAILEDFailed — check error field
ERRORSystem error — not charged

Status Flow

QUEUED → PROCESSING → COMPLETED
                    → FAILED
                    → ERROR

Typical Workflow

  1. Send a generate request to the API endpoint
  2. Save the request_id from the response
  3. Poll every 5-10 seconds: GET /v2/requests/status/{request_id}
  4. 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

No data available

Could not load current pricing

2. Ernie Image 1.0

Ernie Image 1.0 API Documentation

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

Authentication

All requests require an API key passed via header.

HeaderTypeRequiredDescription
Ocp-Apim-Subscription-KeystringYesYour API subscription key

Ernie Image generate request

Request Code

POST https://gateway.pixazo.ai/ernie-image/v1/ernie-image-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": 50,
  "guidance_scale": 5,
  "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/v1/ernie-image-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": 50,
    "guidance_scale": 5,
    "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/v1/ernie-image-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": 50,
  "guidance_scale": 5,
  "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/v1/ernie-image-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": 50,
    "guidance_scale": 5,
    "num_images": 1,
    "enable_prompt_expansion": true,
    "enable_safety_checker": true,
    "output_format": "jpeg",
    "acceleration": "regular"
}'

Output

{
  "request_id": "ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

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

HeaderRequiredDefaultDescription
X-Webhook-URLYes (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-ModeNoterminalterminal — 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_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ernie-image",
  "error": null,
  "output": {
    "media_url": [
      "https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ernie-image_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_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ernie-image",
  "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 modePOST 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 generate request

Parameter Required Type Default Allowed values / range Description
promptYesstringText prompt for image generation. Supports English, Chinese, and Japanese.
negative_promptNostring""Content to avoid in the generated image.
image_sizeNostring 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}Image dimensions. String options or custom object with width and height.
num_inference_stepsNointeger50Number of denoising steps during generation. Higher values improve quality but increase processing time.
guidance_scaleNofloat5Prompt adherence strength. Higher values increase adherence to the prompt at potential cost of image quality.
num_imagesNointeger1Number of images to generate per request.
enable_prompt_expansionNobooleantrueEnable LLM-based prompt enhancement for richer, more detailed prompts.
enable_safety_checkerNobooleantrueEnable NSFW content filtering.
output_formatNostring"jpeg""jpeg", "png"Output image format.
accelerationNostring"regular""none", "regular", "high"Inference acceleration mode.
seedNointegerRandom seed for reproducible results. If omitted, a random seed is used.
sync_modeNobooleanIf `true`, returns image data URIs instead of CDN URLs. If `false` or omitted, returns CDN URLs.

Example Request

{
  "prompt": "A serene mountain landscape at sunset with golden light",
  "negative_prompt": "",
  "image_size": "square_hd",
  "num_inference_steps": 50,
  "guidance_scale": 5,
  "num_images": 1,
  "enable_prompt_expansion": true,
  "enable_safety_checker": true,
  "output_format": "jpeg",
  "acceleration": "regular"
}

Response

{
  "request_id": "ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "QUEUED",
  "polling_url": "https://gateway.pixazo.ai/v2/requests/status/ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
}

Request Headers

Header Value
Content-Typeapplication/json
Cache-Controlno-cache
Ocp-Apim-Subscription-KeyYOUR_API_KEY

Response Handling

Common status codes.

CodeMeaning
202Accepted — Request queued
Bad Request
401Unauthorized
402Insufficient Balance
403Forbidden
Too Many Requests
500Internal 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' not found or is disabled"
}

Error via Status/Webhook

{
  "request_id": "ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "ERROR",
  "model_id": "ernie-image",
  "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_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"

Response (Completed)

{
  "request_id": "ernie-image_019dxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "status": "COMPLETED",
  "model_id": "ernie-image",
  "error": null,
  "output": {
    "media_url": ["https://pub-582b7213209642b9b995c96c95a30381.r2.dev/v1/ernie-image_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

FieldTypeDescription
request_idstringUnique request identifier
statusstringQUEUED, PROCESSING, COMPLETED, FAILED, or ERROR
model_idstringModel that processed the request
errorstring|nullError message if failed
output.media_urlarrayURLs to generated media (R2 CDN)
output.media_typestringMIME type of the output
created_atstringWhen request was created
completed_atstringWhen request completed
polling_urlstringStatus URL (initial response only)

Status Values

StatusDescription
QUEUEDRequest accepted, waiting to be processed
PROCESSINGBeing processed by the model
COMPLETEDDone — output contains the result
FAILEDFailed — check error field
ERRORSystem error — not charged

Status Flow

QUEUED → PROCESSING → COMPLETED
                    → FAILED
                    → ERROR

Typical Workflow

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

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

Ernie Image 1.0 API Pricing

ResolutionPrice (USD)
All Resolution$0.03