# Seedance v1 Pro t2v 1080p — Atlas Cloud API

> A full-fidelity text-to-video model built for cinematic results. Generates multi-shot, 1080p videos with smooth motion, strong prompt adherence, and scene continuity.

This is the machine-readable API reference for **Seedance v1 Pro t2v 1080p** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `bytedance/seedance-v1-pro-t2v-1080p`
- **Built by**: ByteDance
- **Modality**: Video
- **Model page**: https://www.atlascloud.ai/models/bytedance/seedance-v1-pro-t2v-1080p
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.11 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-pro-t2v-1080p"`.
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-pro-t2v-1080p -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-pro-t2v-1080p`


## 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-pro-t2v-1080p"`

- **`prompt`** (`string`, _required_):
  Text prompt for video generation; Positive text prompt; Cannot exceed 2000 characters.
  - Default: `"An explorer sails across a low-poly ocean where polygonal waves ripple across the surface. Polygonal birds glide overhead. [Orbiting shot] around the small boat as sharp sunlight refracts through the stylized world. The scene is minimal yet vivid and dynamic."`

- **`aspect_ratio`** (`string`, _optional_):
  The aspect ratio of the generated video.
  - Default: `"16:9"`
  - 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: 2
  - Max: 12

- **`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-pro-t2v-1080p",
  "prompt": "An explorer sails across a low-poly ocean where polygonal waves ripple across the surface. Polygonal birds glide overhead. [Orbiting shot] around the small boat as sharp sunlight refracts through the stylized world. The scene is minimal yet vivid and dynamic."
}
```


**Full Example**:

```json
{
  "model": "bytedance/seedance-v1-pro-t2v-1080p",
  "prompt": "An explorer sails across a low-poly ocean where polygonal waves ripple across the surface. Polygonal birds glide overhead. [Orbiting shot] around the small boat as sharp sunlight refracts through the stylized world. The scene is minimal yet vivid and dynamic.",
  "aspect_ratio": "16:9",
  "duration": 5,
  "camera_fixed": false,
  "seed": -1
}
```


### Output Schema

The API returns the following output format:


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

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

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

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

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

- **`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.



**Example Response**:

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


## 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-pro-t2v-1080p",
  "prompt": "An explorer sails across a low-poly ocean where polygonal waves ripple across the surface. Polygonal birds glide overhead. [Orbiting shot] around the small boat as sharp sunlight refracts through the stylized world. The scene is minimal yet vivid and dynamic.",
  "aspect_ratio": "16:9",
  "duration": 5,
  "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-pro-t2v-1080p)

## About this model

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

### Seedance 1.0

*A video generation model that creates videos from text prompts and images.*

---

#### 🌟 Core Capabilities

##### 🎬 Video Generation
- **Text-to-Video (T2V):** Generate videos from text descriptions  
- **Image-to-Video (I2V):** Generate videos from static images with optional text prompts  
- **Resolution:** Outputs 1080p videos  

##### 🎥 Motion and Dynamics
- Wide dynamic range supporting both subtle and large-scale movements  
- Maintains physical realism and stability across motion sequences  
- Handles complex action sequences and multi-agent interactions  

##### 🧩 Multi-Shot Support
- Native multi-shot video generation with narrative coherence  
- Maintains consistency in subjects, visual style, and atmosphere across shot transitions  
- Handles temporal and spatial shifts between scenes  

##### 🎨 Style and Aesthetics
- Supports diverse visual styles: photorealism, cyberpunk, illustration, felt texture, and more  
- Interprets stylistic prompts accurately  
- Maintains cinematic quality with rich visual details  

##### 🧠 Prompt Understanding
- Parses natural language descriptions effectively  
- Stable control over camera movements and positioning  
- Accurate interpretation of complex scene descriptions  
- Strong prompt adherence across generated content  

---

#### ⚙️ Technical Specifications

- **Model Version:** 1.0  
- **Output Resolution:** 1080p  
- **Input Types:** Text prompts, images (for I2V mode)  
- **Video Length:** Multi-shot capable (specific duration limits not specified)  

---

#### 📊 Model Performance

Based on internal benchmarks using `SeedVideoBench-1.0` and third-party evaluations:

- High scores in prompt adherence  
- Strong motion quality ratings  
- Competitive aesthetic quality  
- Effective source image consistency in I2V tasks  

---

#### 🎯 Use Cases

_(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-pro-t2v-1080p · Docs: https://www.atlascloud.ai/docs