acedatacloud/skills
Generate AI videos with OpenAI Sora via AceDataCloud API.
npx skills add acedatacloud/skills --skill sora-video
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npx skills add acedatacloud/skills
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SKILL.md
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SUMMARY.md
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Generate AI videos through AceDataCloud's OpenAI Sora API.
Setup: See [authentication](../_shared/authentication.md) for token setup.
curl -X POST https://api.acedata.cloud/sora/videos \
-H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"prompt": "a golden retriever running on a beach at sunset", "model": "sora-2", "callback_url": "https://api.acedata.cloud/health"}'Async: See [async task polling](../_shared/async-tasks.md). Poll via
POST /sora/taskswith{"id": "..."}.
| Model | Duration | Quality | Best For |
|---|---|---|---|
sora-2 |
10–15s | Standard | Most tasks (default) |
sora-2-pro |
10–25s | Higher | Premium quality, longer videos |
POST /sora/videos
{
"prompt": "a busy Tokyo street at night with neon signs reflecting in rain puddles",
"model": "sora-2",
"size": "small",
"duration": 10,
"orientation": "landscape"
}Use reference images to guide generation.
POST /sora/videos
{
"prompt": "the scene gradually comes alive with gentle motion",
"image_urls": ["https://example.com/scene.jpg"],
"model": "sora-2",
"orientation": "landscape"
}Extract a character from an existing video and use them in a new scene.
POST /sora/videos
{
"prompt": "the character walks through a futuristic city",
"character_url": "https://example.com/source-video.mp4",
"character_start": 2,
"character_end": 5,
"model": "sora-2-pro"
}| Parameter | Values | Description |
|---|---|---|
model |
"sora-2", "sora-2-pro" |
Model to use (required) |
size |
"small", "large", "720x1280", "1280x720", "1024x1792", "1792x1024" |
Video resolution |
duration |
4, 8, 10, 12, 15, 25 |
Duration in seconds (25 only with sora-2-pro; version 2.0 supports 4/8/12) |
orientation |
"landscape" (16:9), "portrait" (9:16) |
Video orientation — version 1.0 only |
version |
"1.0" (default), "2.0" |
API version. 1.0 enables duration up to 25s, orientation, character references and image inputs; 2.0 uses pixel size values and drops orientation |
sora-2-pro modelsize: "large" produces higher resolution but costs more and takes longercharacterstart and characterend timestamps (in seconds) from the source videoorientation sets the aspect ratio — use "portrait" for mobile-first content"succeeded" (not "completed") — check for this value when pollingMCP:
pip install mcp-sora| Hosted:https://sora.mcp.acedata.cloud/mcp| See [all MCP servers](../_shared/mcp-servers.md)