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.
Boşta

$0.03çalıştırma başına·~33 / $1

A weathered desert nomad hunter crouching on a sand dune at golden hour, face wrapped in deep crimson cloth revealing only sharp dark eyes, a compound bow slung over one shoulder, fingers tracing ancient markings in the sand, enormous shadow stretching behind him, heat haze distorting the horizon, National Geographic photography style, raw and visceral

A celestial messenger descending from a crescent moon, gender-ambiguous figure draped in flowing white robes that dissolve into moonlight at the edges, long silver hair floating weightlessly, bare feet hovering above a sleeping city, holding a luminous orb containing a tiny storm, calm expression with closed eyes, painterly style blending Alphonse Mucha Art Nouveau with contemporary digital art

A lone assassin pausing mid-rooftop sprint, rain hammering down, body frozen as a distant neon sign flickers revealing their own wanted poster — they stare at their own face, fractured memory, gloved hand pressed against wet glass, black tactical outfit, expression unreadable, cinematic noir, anamorphic lens, shallow depth of field
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.
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.
| 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. |
Just $0.03 per image.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ernie-image/text-to-image-turbo with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Ernie Image Text To Image Turbo below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ernie-image/text-to-image-turbo" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024"
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("wavespeed-ai/ernie-image/text-to-image-turbo", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024"
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"wavespeed-ai/ernie-image/text-to-image-turbo",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024"
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorErnie Image Text To Image Turbo is a WaveSpeedAI model for image generation, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ernie-image-text-to-image-turbo.
Ernie Image Text To Image Turbo starts at $0.030 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `size`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ernie-image-text-to-image-turbo.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.