Sora Video

Documents

sora-video

Sora Video is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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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QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

Open your project in Codex.
Copy and paste the prompt below.
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Prompt to paste

Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/ai-llm/sora-video-acedatacloud-skills-2/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/sora-video, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

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