Sora video

Skill AceDataCloud/Skills/skills/sora-video

Agent Skills for AceDataCloud AI services — music, image, video generation, web search, and more. Compatible with Claude Code, GitHub Copilot, Gemini CLI, and all agentskills.io-compatible agents.

Install

npx -y skills add AceDataCloud/Skills --skill sora-video

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Generate AI videos with OpenAI Sora via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, or using character references from existing videos. Supports text-to-video, image-to-video, and character-driven generation with multiple models and resolutions.

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SKILL.md

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Sora Video Generation

Generate AI videos through AceDataCloud's OpenAI Sora API.

Setup: See authentication for token setup.

Quick Start

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. Poll via POST /sora/tasks with {"id": "..."}.

Models

Model	Duration	Quality	Best For
`sora-2`	10–15s	Standard	Most tasks (default)
`sora-2-pro`	10–25s	Higher	Premium quality, longer videos

Workflows

1. Text-to-Video

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"
}

2. Image-to-Video

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"
}

3. Character-Driven Video

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": 2.0,
  "character_end": 5.0,
  "model": "sora-2-pro"
}

Parameters

Parameter	Values	Description
`model`	`"sora-2"`, `"sora-2-pro"`	Model to use (required)
`size`	`"small"`, `"large"`	Video resolution
`duration`	`10`, `15`, `25`	Duration in seconds (25 only with sora-2-pro)
`orientation`	`"landscape"` (16:9), `"portrait"` (9:16), `"square"` (1:1)	Video orientation
`version`	`"1.0"`	API version — version `1.0` enables duration up to 25s, orientation, character references, and image inputs

Gotchas

Duration of 25 seconds is only available with sora-2-pro model
size: "large" produces higher resolution but costs more and takes longer
Character-driven generation requires character_start and character_end timestamps (in seconds) from the source video
orientation sets the aspect ratio — use "portrait" for mobile-first content
Task states use "succeeded" (not "completed") — check for this value when polling

MCP: pip install mcp-sora | Hosted: https://sora.mcp.acedata.cloud/mcp | See all MCP servers