sora-video · diff

v1.0 to v1.0

3 added, 87 removed. Audit A to A.

---
name: sora-video
- description: 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.
+ description: Explain the retired Sora integration and help migrate existing workflows. The Sora service is not currently published in the AceDataCloud public API catalog.
license: Apache-2.0
metadata:
author: acedatacloud
version: "1.0"
compatibility: Requires ACEDATACLOUD_API_TOKEN in .env file (see _shared/authentication.md). Optionally pair with mcp-sora for tool-use.
---
- # Sora Video Generation
-
- Generate AI videos through AceDataCloud's OpenAI Sora API.
-
- > **Setup:** See [authentication](../_shared/authentication.md) for token setup.
-
- ## Quick Start
-
- ```bash
- 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/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
-
- ```json
- 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.
-
- ```json
- 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.
-
- ```json
- 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"
- }
- ```
-
- ## Parameters
-
- | 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` |
-
- ## 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
+ # Sora integration status
- > **MCP:** `pip install mcp-sora` | Hosted: `https://sora.mcp.acedata.cloud/mcp` | See [all MCP servers](../_shared/mcp-servers.md)
+ Sora is not currently published in the AceDataCloud public API catalog. Do not submit the legacy Sora examples. Check the platform video model catalog for currently published capabilities and let the user choose a replacement before changing the model.