API reference · Baidu
baidu/ernie-image-trainer
Integrate this model through SandBase's unified API, with production-ready schemas and examples.
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
baidu/ernie-image-trainer01
Input 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. |
02
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
03
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"
