Ernie Image Text To Image Turbo API Documentation
Playground
Try it on WaveSpeedAI!Baidu ERNIE Image Turbo is a distilled, 8-step version of ERNIE Image for fast, low-cost generation. Supports English, Chinese, and Japanese prompts with flexible sizing. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
ERNIE Image Text-to-Image is Baidu’s text-to-image model, generating high-quality images from natural language prompts. It supports prompts in English, Chinese, and Japanese — making it a strong choice for multilingual creative and production workflows.
Why Choose This?
-
Multilingual prompt support Write prompts in English, Chinese, or Japanese — the model understands all three natively for accurate, culturally relevant image generation.
-
Fast generation Generates images quickly — ideal for rapid iteration, high-volume workflows, and real-time applications.
-
Custom size output Specify any output dimensions to match your target format — social media, banners, portraits, or custom layouts.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image. Supports English, Chinese, and Japanese. |
| size | No | Output dimensions in width×height pixels. Default: 1024×1024. Range: 256–1536 per side. |
How to Use
- Write your prompt — describe the subject, scene, style, and mood in English, Chinese, or Japanese.
- Set size (optional) — specify output dimensions to match your target format.
- Submit — generate and download your image.
Pricing
Just $0.03 per image.
Best Use Cases
- Multilingual content creation — Generate images from Chinese, Japanese, or English prompts for localized creative workflows.
- Rapid prototyping — Quickly iterate on visual concepts with fast turbo-speed generation.
- Social media & marketing — Produce on-brand visuals at custom sizes for any platform or format.
- E-commerce — Generate product lifestyle and scene imagery at scale.
- Developer integrations — Embed fast, multilingual image generation into apps and pipelines.
Pro Tips
- Be specific in your prompt — include subject, style, lighting, and composition details for the most accurate results.
- Chinese and Japanese prompts can be especially effective for culturally specific aesthetics and artistic styles.
- Use custom size to match your exact delivery format rather than cropping after generation.
Notes
- Only prompt is required; size is optional and defaults to 1024×1024.
- Supported size range: 256–1536 pixels per dimension.
- Please ensure your content complies with Baidu’s usage policies.
Related Models
- ERNIE Image Text-to-Image Turbo — Faster version of the ERNIE image generation model.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"size": "1024*1024"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ernie-image/text-to-image-turbo" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | Text prompt describing the image. Supports English, Chinese, and Japanese. | |
| size | string | No | 1024*1024 | - | The size of the generated image in pixels (width*height). |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |