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.

Models Version
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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"
}
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
POSTwhen the request reaches a terminal status. No callback duringPROCESSING. - sync mode —
POSTon every status poll (with delay capped at ~15s) plus a finalPOSTat terminal status. Use when you want progress updates. - Idempotency — use
request_idas your idempotency key. Network retries can deliver the same callback more than once; your handler must tolerate duplicates. - Response — respond
200 OKwithin 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} | Image dimensions. String options or custom object with width and height. |
| num_inference_steps | No | integer | 8 | — | Number of denoising steps. Turbo model is optimized for 8 steps. |
| guidance_scale | No | float | 1 | — | Prompt adherence strength. Higher values increase adherence to prompt at potential cost of image quality. |
| num_images | No | integer | 1 | — | Number of images to generate per request. |
| enable_prompt_expansion | No | boolean | true | — | Enable LLM-based prompt enhancement for richer, more detailed prompts. |
| enable_safety_checker | No | boolean | true | — | Enable NSFW content filtering. |
| output_format | No | string | "jpeg" | "jpeg", "png" | Output image format. |
| acceleration | No | string | "regular" | "none", "regular", "high" | Inference acceleration mode. |
| seed | No | integer | — | — | Random seed for reproducible results. If omitted, a random seed is used. |
| sync_mode | No | boolean | — | — | If `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-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_idfrom the response - Poll every 5-10 seconds:
GET /v2/requests/status/{request_id} - When
statusis"COMPLETED", download fromoutput.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
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.
| Header | Type | Required | Description |
|---|---|---|---|
| Ocp-Apim-Subscription-Key | string | Yes | Your 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
| 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_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
POSTwhen the request reaches a terminal status. No callback duringPROCESSING. - sync mode —
POSTon every status poll (with delay capped at ~15s) plus a finalPOSTat terminal status. Use when you want progress updates. - Idempotency — use
request_idas your idempotency key. Network retries can deliver the same callback more than once; your handler must tolerate duplicates. - Response — respond
200 OKwithin 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 |
|---|---|---|---|---|---|
| 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} | Image dimensions. String options or custom object with width and height. |
| num_inference_steps | No | integer | 50 | — | Number of denoising steps during generation. Higher values improve quality but increase processing time. |
| guidance_scale | No | float | 5 | — | Prompt adherence strength. Higher values increase adherence to the prompt at potential cost of image quality. |
| num_images | No | integer | 1 | — | Number of images to generate per request. |
| enable_prompt_expansion | No | boolean | true | — | Enable LLM-based prompt enhancement for richer, more detailed prompts. |
| enable_safety_checker | No | boolean | true | — | Enable NSFW content filtering. |
| output_format | No | string | "jpeg" | "jpeg", "png" | Output image format. |
| acceleration | No | string | "regular" | "none", "regular", "high" | Inference acceleration mode. |
| seed | No | integer | — | — | Random seed for reproducible results. If omitted, a random seed is used. |
| sync_mode | No | boolean | — | — | If `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-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' 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
| 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_idfrom the response - Poll every 5-10 seconds:
GET /v2/requests/status/{request_id} - When
statusis"COMPLETED", download fromoutput.media_url
Tip: Use X-Webhook-URL header to get a callback instead of polling.
Ernie Image 1.0 API Pricing
| Resolution | Price (USD) |
|---|---|
| All Resolution | $0.03 |