baidu/ernie-image-trainer
Ernie Image Trainer by Baidu - advanced AI model for training. Delivers high-quality results with fast inference, suitable for both creative and production workflows.
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runbaidu/ernie-image-trainerInput Schema
4 parameters · 0 required · 4 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
steps | integer | Optional | Number of steps to train for · Min: 10 · Max: 40000 · Default: 2000 |
learning_rate | number | Optional | Learning rate. · Default: 0.0005 |
default_caption | string | Optional | Default caption to use when caption files are missing. If None, missing captions will cause an error. |
images_data_url | string | Optional | URL to the input data zip archive. The zip should contain pairs of images and corresponding captions. The images should be named: ROOT.EXT. For example: 001.jpg The corresponding captions should be named: ROOT.txt. For example: 001.txt If no text file is provided for an image, the default_caption will be used. |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "baidu/ernie-image-trainer",
"steps": 2000,
"learning_rate": 0.0005,
"prompt": "a beautiful sunset over mountains"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
ERNIE-Image Trainer
baidu/ernie-image-trainer is a dedicated custom image-model training route in Baidu's ERNIE image family. It is designed around the named transformation, using the supplied text or media references to produce a coherent creative result rather than exposing a generic endpoint with loosely related controls.
The route combines its task-specific conditioning with the family's strengths in knowledge-aware image synthesis, Chinese-language understanding, typography, and detailed composition. This makes it useful for production workflows that need deliberate art direction, recognizable subjects, consistent scene logic, and a finished asset that can move directly into review or downstream editing.
Highlights
Subject adaptation. Learns a reusable visual concept from a focused set of training images.
Identity consistency. Encodes recurring subject features for later generation across new scenes and compositions.
Promptable reuse. Turns the trained concept into a controllable element for downstream image creation.
Style specialization. Supports adaptation toward a distinctive aesthetic or production-specific visual language.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $1.2 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | baidu/ernie-image-trainer |
| Inputs | default_caption, images_data_url, learning_rate, steps |
| Required inputs | None |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
Related Models
baidu/ernie-image— Compare this concrete local family route.baidu/ernie-image/turbo— Compare this concrete local family route.