Baidu ERNIE Image generates high-quality images from text prompts in English, Chinese, and Japanese, with flexible sizing and LLM-enhanced prompt expansion. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Boşta

$0.03çalıştırma başına·~33 / $1

A female dark knight standing on a cliff edge overlooking a burning kingdom, full black plate armor engraved with demonic runes, a massive greatsword planted in the ground beside her, scarlet cape whipping in the wind, ash and embers falling like snow, face half-revealed under a cracked visor, piercing amber eyes, dramatic backlit by hellfire, cinematic wide shot, hyper-detailed, 8K

A sea witch standing waist-deep in a tidal cave, silver hair tangled with seaweed and pearls, eyes completely white like seafoam, a swirling vortex of saltwater orbiting her outstretched hands, bioluminescent sea creatures illuminating the cave walls, tattered black robes bleeding into the water, eerie teal and violet lighting, editorial fantasy photography style
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 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 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" \
-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", {
"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",
{
"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 is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Baidu ERNIE Image generates high-quality images from text prompts in English, Chinese, and Japanese, with flexible sizing and LLM-enhanced prompt expansion. 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.
Ernie Image Text To Image 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.
Average end-to-end generation time on WaveSpeedAI is around 67 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.