# Seedance v1.5 Pro Image-to-Video — Atlas Cloud API

> Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.

This is the machine-readable API reference for **Seedance v1.5 Pro Image-to-Video** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `bytedance/seedance-v1.5-pro/image-to-video`
- **Built by**: ByteDance
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/bytedance/seedance-v1.5-pro/image-to-video
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.047 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: "bytedance/seedance-v1.5-pro/image-to-video"`.
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 bytedance/seedance-v1.5-pro/image-to-video -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**: `bytedance/seedance-v1.5-pro/image-to-video`


## 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: `"bytedance/seedance-v1.5-pro/image-to-video"`

- **`prompt`** (`string`, _optional_):
  The positive prompt for the generation.

- **`image`** (`string`, _required_):
  The positive prompt for the generation.

- **`last_image`** (`string`, _optional_):
  The positive prompt for the generation.

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated media.
  - Options: "21:9", "16:9", "4:3", "1:1", "3:4", "9:16"

- **`duration`** (`integer`, _optional_):
  The duration of the generated media in seconds.
  - Default: `5`
  - Min: 4
  - Max: 12

- **`resolution`** (`string`, _optional_):
  Video resolution.
  - Default: `"720p"`
  - Options: "720p", "480p"

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate audio.
  - Default: `true`

- **`camera_fixed`** (`boolean`, _optional_):
  Whether to fix the camera position.
  - Default: `false`

- **`seed`** (`integer`, _optional_):
  The random seed to use for the generation. -1 means a random seed will be used.
  - Default: `-1`



**Required Parameters Example**:

```json
{
  "model": "bytedance/seedance-v1.5-pro/image-to-video",
  "image": ""
}
```


**Full Example**:

```json
{
  "model": "bytedance/seedance-v1.5-pro/image-to-video",
  "prompt": "",
  "image": "",
  "last_image": "",
  "aspect_ratio": "21:9",
  "duration": 5,
  "resolution": "720p",
  "generate_audio": true,
  "camera_fixed": false,
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction, the ID of the prediction to get.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated content (empty when status is not completed).

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "has_nsfw_contents": [],
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## 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": "bytedance/seedance-v1.5-pro/image-to-video",
  "prompt": "",
  "image": "",
  "last_image": "",
  "aspect_ratio": "21:9",
  "duration": 5,
  "resolution": "720p",
  "generate_audio": true,
  "camera_fixed": false,
  "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/bytedance/seedance-v1.5-pro/image-to-video)

## About this model

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

### Seedance 1.5 PRO: A Native Audio-Visual Joint Generation Foundation Model

**Seedance 1.5 PRO** is a foundational model engineered specifically for native joint audio-visual generation, developed by the ByteDance Seed team. It represents a significant leap forward in transforming video generation into a practical, utility-driven tool. By integrating a dual-branch Diffusion Transformer architecture, the model achieves exceptional audio-visual synchronization and superior generation quality, establishing it as a robust engine for professional-grade content creation.

#### Key Features

Seedance 1.5 PRO introduces several key technical advancements that set a new standard for audio-visual content generation.

- **Unified Multimodal Generation** : Leverages a unified framework based on the MMDiT architecture to facilitate deep cross-modal interaction, ensuring precise temporal synchronization and semantic consistency between visual and auditory streams. 
- **Precise Audio-Visual Sync** : Achieves high-fidelity alignment of lip movements, intonation, and performance rhythm. It natively supports multiple languages and regional dialects, accurately capturing unique vocal prosody and emotional tonalities. 
- **Cinematic Camera Control** : Possesses autonomous camera scheduling capabilities, enabling the execution of complex movements such as continuous long takes and dolly zooms ("Hitchcock zoom"), significantly enhancing the dynamic tension of the video. 
- **Enhanced Narrative Coherence** : Through strengthened semantic understanding, the model significantly improves the overall narrative coordination of audio-visual segments, providing strong support for professional-grade content creation.  
- **Efficient Inference Acceleration** : An optimized multi-stage distillation framework, combined with quantization and parallelization, boosts the end-to-end inference speed by over 10x while preserving high performance.   

#### Performance Highlights

_(Description truncated. Full text on the model page.)_

---

Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/bytedance/seedance-v1.5-pro/image-to-video · Docs: https://www.atlascloud.ai/docs