# HappyHorse 1.0 Video-edit — Atlas Cloud API

> Edits an input video with text instructions and optional reference images, supporting 720P or 1080P output.

This is the machine-readable API reference for **HappyHorse 1.0 Video-edit** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `alibaba/happyhorse-1.0/video-edit`
- **Built by**: Alibaba
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/alibaba/happyhorse-1.0/video-edit
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.14 per second of generated video
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_video` with `model: "alibaba/happyhorse-1.0/video-edit"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate video alibaba/happyhorse-1.0/video-edit -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateVideo` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `alibaba/happyhorse-1.0/video-edit`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"alibaba/happyhorse-1.0/video-edit"`
  - Options: "alibaba/happyhorse-1.0/video-edit"

- **`video`** (`string`, _required_):
  URL of the video to edit. Supported formats are MP4 and MOV. Duration must be 3 to 60 seconds; videos longer than 15 seconds are processed from the beginning up to 15 seconds. Maximum file size is 100 MB.

- **`prompt`** (`string`, _required_):
  Text instruction describing the desired edit. Maximum length is 2500 characters.

- **`images`** (`array[string]`, _optional_):
  Optional reference image URLs. Provide up to 5 images. Supported formats are JPEG, JPG, PNG, BMP, and WEBP. Each image can be up to 10 MB and should have an aspect ratio between 1:2.5 and 2.5:1.
  - Max items: 5

- **`resolution`** (`string`, _optional_):
  Output video resolution.
  - Default: `"1080p"`
  - Options: "720p", "1080p"

- **`audio_setting`** (`string`, _optional_):
  Sound control mode.
  - Default: `"auto"`
  - Options: "auto", "origin"

- **`seed`** (`integer`, _optional_):
  Random seed for video generation. Use -1 for a random seed.
  - Default: `-1`
  - Min: -1
  - Max: 2147483647



**Required Parameters Example**:

```json
{
  "model": "alibaba/happyhorse-1.0/video-edit",
  "video": "",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "alibaba/happyhorse-1.0/video-edit",
  "video": "",
  "prompt": "",
  "images": [
    ""
  ],
  "resolution": "1080p",
  "audio_setting": "auto",
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):

- **`message`** (`string`, _optional_):

- **`data`** (`string`, _optional_):



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": null
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateVideo" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "alibaba/happyhorse-1.0/video-edit",
  "video": "",
  "prompt": "",
  "images": [
    ""
  ],
  "resolution": "1080p",
  "audio_setting": "auto",
  "seed": -1
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/alibaba/happyhorse-1.0/video-edit)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### Alibaba HappyHorse 1.0 Video Edit

**Alibaba HappyHorse 1.0 Video Edit** edits an existing video with text instructions and optional reference images, producing a new short video at `720P` or `1080P`.

#### What makes it stand out?

- **Instruction-based editing:** Describe the change you want in natural language.
- **Reference image support:** Add up to 5 images to guide appearance, style, or content.
- **Video-first workflow:** Start from an MP4 or MOV clip and transform it into a new output video.
- **Audio mode control:** Choose automatic sound handling or keep the source audio mode.

#### Designed For

- Creators adjusting existing footage without manual frame-by-frame editing.
- Teams applying a new look or subject detail to short video clips.
- Product, ad, and social video workflows that need quick visual variations from source material.

#### How to Use

1. Provide the `video` URL of the clip you want to edit.
2. Write a prompt that clearly describes the edit.
3. Optionally add reference image URLs for visual guidance.
4. Choose `720P` or `1080P` output.
5. Use `audio_setting` when you need a specific sound mode.

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/alibaba/happyhorse-1.0/video-edit · Docs: https://www.atlascloud.ai/docs