# Veo Video

> Veo 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 Google Veo via AceDataCloud API. Use when creating videos from text descriptions, animating still images into video, or converting lower-resolution results to full 1080p. Supports Veo 2, Veo 3, and Veo 3.1 models.

- Skill name: `veo-video`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/generation/veo-video-acedatacloud-skills/SKILL.md
- Repository: majiayu000/claude-skill-registry (498 GitHub stars when collected)

## SKILL.md

# Veo Video Generation

Generate AI videos through AceDataCloud's Google Veo API.

## Authentication

```bash
export ACEDATACLOUD_API_TOKEN="your-token-here"
```

## Quick Start

```bash
curl -X POST https://api.acedata.cloud/veo/videos \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "a whale breaching in slow motion at golden hour", "model": "veo-3", "wait": true}'
```

## Models

| Model | Duration | Audio | Best For |
|-------|----------|-------|----------|
| `veo-2` | 5–8s | No | Fast, cost-effective generation |
| `veo-3` | 8s | Yes (native) | Full audiovisual generation |
| `veo-3.1` | 8s | Yes (native) | Latest model, highest quality |

## Workflows

### 1. Text-to-Video

```json
POST /veo/videos
{
  "prompt": "cinematic aerial shot of the Northern Lights over Iceland",
  "model": "veo-3",
  "aspect_ratio": "16:9",
  "duration": 8
}
```

### 2. Image-to-Video

Animate a still image into video.

```json
POST /veo/videos
{
  "prompt": "the scene gently comes to life with wind and subtle motion",
  "image_url": "https://example.com/landscape.jpg",
  "model": "veo-2",
  "aspect_ratio": "16:9"
}
```

### 3. Upscale to 1080p

Convert a generated video to full 1080p resolution.

```json
POST /veo/videos/1080p
{
  "video_url": "https://example.com/generated-video.mp4",
  "model": "veo-3"
}
```

## Parameters

| Parameter | Values | Description |
|-----------|--------|-------------|
| `model` | `"veo-2"`, `"veo-3"`, `"veo-3.1"` | Model to use |
| `aspect_ratio` | `"16:9"`, `"9:16"` | Video aspect ratio |
| `duration` | `5` – `8` | Duration in seconds |
| `generate_audio` | `true` / `false` | Enable/disable audio (veo-3, veo-3.1 default to true) |
| `enhance_prompt` | `true` / `false` | Let the model expand your prompt for better results |

## Task Polling

```json
POST /veo/tasks
{"task_id": "your-task-id"}
```

States: `pending` → `succeeded` or `failed`.

## MCP Server

```bash
pip install mcp-veo
```

Or hosted: `https://veo.mcp.acedata.cloud/mcp`

Key tools: `veo_generate_video`, `veo_generate_video_from_image`, `veo_get_1080p_video`

## Gotchas

- Veo 3 and 3.1 generate **native audio** — use `generate_audio: false` to suppress
- The 1080p endpoint (`/veo/videos/1080p`) only upscales previously generated videos
- `enhance_prompt` can significantly improve results but may deviate from literal interpretation
- Veo 2 does NOT support audio generation
- Duration is capped at 8 seconds for all models
- Task states use `"succeeded"` (not "completed") — check for this value when polling

---

Source: https://www.openparable.com/skill/documents/veo-video (OpenParable). Cite the canonical URL above.