# Seedance 1.0 Pro

> Seedance 1.0 generates 1080P videos with smooth motion, rich detail, and diverse styles, while the pro version adds multi-shot narrative and advanced instruction following for cinematic results.

## Overview

- **Endpoint**: `https://queue.modelrunner.run/bytedance/seedance-v1-pro`
- **Model ID**: `bytedance/seedance-v1-pro`
- **Category**: image-to-video
- **Kind**: inference
- **Tags**: video, video editing

## Pricing

- **480p**: $0.03 per output second
- **720p**: $0.06 per output second
- **1080p**: $0.15 per output second

## Request Lifecycle

This model runs on the ModelRunner **asynchronous queue API** — a single POST does not return the output. Every call requires an `Authorization: Key $MODEL_RUNNER_KEY` header. Run three steps:

1. **Submit** — `POST https://queue.modelrunner.run/bytedance/seedance-v1-pro` with a JSON body holding the input fields at the top level. The body may also include a reserved top-level `metadata` object — a flat string map (max 16 keys, key ≤64 / value ≤512 chars) stored on the request for your own tagging. It is never sent to the model; filter your request history with `GET https://queue.modelrunner.run/requests?metadata=<url-encoded JSON>` (exact key=value matches, AND-ed). The response carries request handles only (no output yet):

```json
{
  "status": "IN_QUEUE",
  "request_id": "<21-char id>",
  "status_url": "https://queue.modelrunner.run/bytedance/seedance-v1-pro/requests/<request_id>/status",
  "response_url": "https://queue.modelrunner.run/bytedance/seedance-v1-pro/requests/<request_id>",
  "cancel_url": "https://queue.modelrunner.run/bytedance/seedance-v1-pro/requests/<request_id>/cancel"
}
```

2. **Poll status** — `GET <status_url>` until `status` is `COMPLETED`. Possible values are `IN_QUEUE`, `IN_PROGRESS`, `COMPLETED`, `FAILED`, `CANCELLED`. A `FAILED` request responds with HTTP 400 and an `error` field.

3. **Read result** — `GET <response_url>`. Returns the finished request, including the generated `output`:

```json
{ "id": "<request_id>", "status": "COMPLETED", "output": ..., "input": ... }
```

The JavaScript and Python SDKs below perform steps 2–3 for you. In any language without an SDK (Swift, Go, Kotlin, etc.) you must implement the polling loop and the final result fetch yourself — see the cURL example for the full flow.

### Input Schema

- **`seed`** (`integer`, _optional_):
  Random seed. Set for reproducible generation

- **`image`** (`string`, _optional_):
  Input image for image-to-video generation

- **`prompt`** (`string`, _required_):
  Text prompt for video generation

- **`duration`** (`integer`, _optional_):
  Video duration in seconds
  - Default: `5`
  - Range: `3` to `12`

- **`resolution`** (`resolution`, _optional_):
  Video resolution
  - Default: `"1080p"`
  - Options: `"480p"`, `"720p"`, `"1080p"`

- **`aspect_ratio`** (`aspect_ratio`, _optional_):
  Video aspect ratio. Ignored if an image is used.
  - Default: `"16:9"`
  - Options: `"16:9"`, `"4:3"`, `"1:1"`, `"3:4"`, `"9:16"`, `"21:9"`, `"9:21"`, `"adaptive"`

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

### Output Schema

_No `Output` schema properties are available._

## Default Example

**Input**

```json
{
  "seed": 0,
  "prompt": "In a bustling cyberpunk night market, neon signs flicker in pink and blue. A young woman in a silver jacket browses glowing fruit stands. The camera starts with a wide aerial shot of the whole market, then smoothly pushes in as the camera pans right, following her through the crowd. She picks up a holographic fruit, it dissolves into digital particles in her hand. Camera switch: a close-up of her face reflecting the neon lights as she smiles in surprise. Camera circles around her as the particles reform into a glowing butterfly that flutters into the night.",
  "duration": 8,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "camera_fixed": false
}
```

**Output**

```json
"https://media.modelrunner.ai/BNC5bW5qMCf7TQbooCFIB.mp4"
```
## Usage Examples

### cURL

The queue API is asynchronous: submit the request, poll `status_url` until it is `COMPLETED`, then read the result from `response_url`. Requires `jq`.

```bash
# 1. Submit the request (returns request handles, not the output)
SUBMIT=$(curl --silent --request POST \
  --url https://queue.modelrunner.run/bytedance/seedance-v1-pro \
  --header "Authorization: Key $MODEL_RUNNER_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "seed": 0,
  "prompt": "In a bustling cyberpunk night market, neon signs flicker in pink and blue. A young woman in a silver jacket browses glowing fruit stands. The camera starts with a wide aerial shot of the whole market, then smoothly pushes in as the camera pans right, following her through the crowd. She picks up a holographic fruit, it dissolves into digital particles in her hand. Camera switch: a close-up of her face reflecting the neon lights as she smiles in surprise. Camera circles around her as the particles reform into a glowing butterfly that flutters into the night.",
  "duration": 8,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "camera_fixed": false
}')

STATUS_URL=$(echo "$SUBMIT" | jq -r '.status_url')
RESPONSE_URL=$(echo "$SUBMIT" | jq -r '.response_url')

# 2. Poll until the request leaves the queue / in-progress state
while true; do
  STATUS=$(curl --silent --url "$STATUS_URL" \
    --header "Authorization: Key $MODEL_RUNNER_KEY" | jq -r '.status')
  echo "Status: $STATUS"
  case "$STATUS" in
    COMPLETED) break ;;
    FAILED|CANCELLED) echo "Request $STATUS"; exit 1 ;;
  esac
  sleep 1
done

# 3. Read the finished request, including the generated output
curl --silent --url "$RESPONSE_URL" \
  --header "Authorization: Key $MODEL_RUNNER_KEY"
```

### JavaScript

```javascript
import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("bytedance/seedance-v1-pro", {
  input: {
  "seed": 0,
  "prompt": "In a bustling cyberpunk night market, neon signs flicker in pink and blue. A young woman in a silver jacket browses glowing fruit stands. The camera starts with a wide aerial shot of the whole market, then smoothly pushes in as the camera pans right, following her through the crowd. She picks up a holographic fruit, it dissolves into digital particles in her hand. Camera switch: a close-up of her face reflecting the neon lights as she smiles in surprise. Camera circles around her as the particles reform into a glowing butterfly that flutters into the night.",
  "duration": 8,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "camera_fixed": false
}
});

console.log(result.data);
```

### Python

```python
import asyncio
import modelrunner_ai

async def main():
    response = await modelrunner_ai.submit_async(
        "bytedance/seedance-v1-pro",
        arguments={
  "seed": 0,
  "prompt": "In a bustling cyberpunk night market, neon signs flicker in pink and blue. A young woman in a silver jacket browses glowing fruit stands. The camera starts with a wide aerial shot of the whole market, then smoothly pushes in as the camera pans right, following her through the crowd. She picks up a holographic fruit, it dissolves into digital particles in her hand. Camera switch: a close-up of her face reflecting the neon lights as she smiles in surprise. Camera circles around her as the particles reform into a glowing butterfly that flutters into the night.",
  "duration": 8,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "camera_fixed": false
}
    )
    result = await response.get()
    print(result["output"])

asyncio.run(main())
```

## Additional Resources

- [Playground](https://modelrunner.ai/models/bytedance/seedance-v1-pro)
- [OpenAPI Schema](https://modelrunner.ai/models/bytedance/seedance-v1-pro/openapi.json)
- [LLM Instructions](https://modelrunner.ai/models/bytedance/seedance-v1-pro/llms.txt)