# Trend Remix — Atlas Cloud API

> A Workflow template: feed it one product shot and a reference video that is already working. It reads the reference for structure, pacing, camera language and edit rhythm, then rewrites the whole thing around your product — borrowing the method, never copying the frames. Renders with Seedance 2.5; pick length, ratio, resolution and audio. Priced by duration; a failed run is not charged.

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

- **Model ID**: `atlascloud/studio/trend-remix`
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/atlascloud/studio/trend-remix
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.312 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: "atlascloud/studio/trend-remix"`.
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 atlascloud/studio/trend-remix -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**: `atlascloud/studio/trend-remix`


## 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:

- **`reference_video`** (`array[string]`, _required_):
  爆款参考视频，一条，4-20 秒、≤20MB、mp4/mov。只借鉴它的结构、节奏与运镜，不逐帧复制画面内容。
  - Max items: 1

- **`product_image`** (`array[string]`, _required_):
  要植入的商品图，一张。整条片子的商品身份以它为准。
  - Max items: 1

- **`model_image`** (`array[string]`, _optional_):
  模特图，选填、一张。想锁定同一个出镜人时才传。
  - Max items: 1

- **`user_prompt`** (`string`, _required_):
  描述你的商品：品牌、卖点、想要的风格与调性。

- **`duration`** (`integer`, _optional_):
  成片时长（秒），4-20。**留空 = 与参考视频时长一致**（工作流拿抽帧实际分析到的秒数，最多 20 秒）。价格按最终时长计。
  - Options: 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20

- **`ratio`** (`string`, _optional_):
  画面比例。竖屏短视频用 9:16。
  - Default: `"16:9"`
  - Options: "16:9", "9:16", "1:1", "3:4", "4:3"

- **`resolution`** (`string`, _optional_):
  分辨率。480p / 720p / 1080p 是原生输出（1080p 直接渲染 1920x1080）；-esr 各档是生成后再超分，越高越贵（每秒价按档位分级：480p 0.1409、720p 0.3030、720p-esr 0.2536、1080p 0.5963、1080p-esr 0.4544、1440p-esr 1.7246、4k-esr 3.8582 美元，与官网直调模型同价）。注意 1080p 比 1080p-esr 贵：前者真渲染 1920x1080，后者是 720p 超分。
  - Default: `"720p"`
  - Options: "480p", "720p", "1080p", "720p-esr", "1080p-esr", "1440p-esr", "4k-esr"

- **`generate_audio`** (`string`, _optional_):
  是否生成同期声（食物声、环境声与轻量配乐）。
  - Default: `"yes"`
  - Options: "yes", "no"

- **`count`** (`integer`, _optional_):
  一次生成几条（不同创意方案）。价格按条数相乘。
  - Default: `1`
  - Options: 1, 2



**Required Parameters Example**:

```json
{
  "model": "atlascloud/studio/trend-remix",
  "product_image": [
    ""
  ],
  "reference_video": [
    ""
  ],
  "user_prompt": ""
}
```


**Full Example**:

```json
{
  "model": "atlascloud/studio/trend-remix",
  "reference_video": [
    ""
  ],
  "product_image": [
    ""
  ],
  "model_image": [
    ""
  ],
  "user_prompt": "",
  "duration": 0,
  "ratio": "16:9",
  "resolution": "720p",
  "generate_audio": "yes",
  "count": 1
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):
  Task ID

- **`model`** (`string`, _optional_):
  Model name

- **`status`** (`string`, _optional_):
  processing / completed / failed

- **`outputs`** (`array[string]`, _optional_):
  Result URLs.

- **`error`** (`string`, _optional_):
  Failure reason; carries the failing node name.



**Example Response**:

```json
{
  "id": "",
  "model": "",
  "status": "",
  "outputs": [
    ""
  ],
  "error": ""
}
```


## 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": "atlascloud/studio/trend-remix",
  "reference_video": [
    ""
  ],
  "product_image": [
    ""
  ],
  "model_image": [
    ""
  ],
  "user_prompt": "",
  "duration": 0,
  "ratio": "16:9",
  "resolution": "720p",
  "generate_audio": "yes",
  "count": 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/atlascloud/studio/trend-remix)

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/atlascloud/studio/trend-remix · Docs: https://www.atlascloud.ai/docs