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.

QUICK START

How to use this skill

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Open your project in Codex.
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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/ai-llm/sora-video-acedatacloud-skills-2/SKILL.md

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Sora Video Generation

Generate AI videos through AceDataCloud's OpenAI Sora API.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

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", "wait": true}'

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
`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

Task Polling

POST /sora/tasks
{"task_id": "your-task-id"}

States: pending → succeeded or failed.

MCP Server

pip install mcp-sora

Or hosted: https://sora.mcp.acedata.cloud/mcp

Key tools: sora_generate_video, sora_generate_video_from_image, sora_generate_video_with_character

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