douyin/xingtu-v2/author-local-info
Get creator/author location information. This capability focuses on douyin (douyin xingtu v2) workflows centered on get author local info.
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/rundouyin/xingtu-v2/author-local-infoInput Schema
4 parameters · 1 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
o_author_id | string | Required | Creator/author ID |
time_range | integer | Optional | Time range in days, default 30 |
platform_source | integer | Optional | Platform source, default 1 |
platform_channel | integer | Optional | Platform channel, default 1 |
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 |
Code Examples
Ready-to-run snippets
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "douyin/xingtu-v2/author-local-info",
"prompt": "a beautiful sunset over mountains"
}'API README
Get Author Local Info
Get creator/author location information. This capability focuses on douyin (douyin xingtu v2) workflows centered on get author local info. It is suitable for douyin workflows.
Capability
Get creator/author location information. This capability focuses on douyin (douyin xingtu v2) workflows centered on get author local info. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Connect structured data to dashboards, agents, internal tools, and automated workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.

