# Seedance 2.0 Video to Video

> Generate a new video from footage you already have — restyle, restage, or continue a clip, and steer it with extra reference images and audio named in the prompt.

## Overview

- **Endpoint**: `https://queue.modelrunner.run/bytedance/seedance-v2/video-to-video`
- **Model ID**: `bytedance/seedance-v2/video-to-video`
- **Category**: video-to-video
- **Kind**: inference
- **Tags**: video, video-to-video, reference-video, video-editing, video-restyle, motion-control, video generation, audio, bytedance, seedance

## Pricing

- **Estimated Price**: $1.5228 average per output

## 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-v2/video-to-video` 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-v2/video-to-video/requests/<request_id>/status",
  "response_url": "https://queue.modelrunner.run/bytedance/seedance-v2/video-to-video/requests/<request_id>",
  "cancel_url": "https://queue.modelrunner.run/bytedance/seedance-v2/video-to-video/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

- **`prompt`** (`string`, _required_):
  Describe the result you want and what to take from each reference. Address the reference assets positionally as @Video1..@Video3, @Image1..@Image9 and @Audio1..@Audio3, numbered by their order in reference_videos, reference_images and reference_audios — a reference the prompt never names is usually ignored. English, Chinese, Japanese, Indonesian, Spanish and Portuguese prompts are all understood.

- **`duration`** (`integer`, _optional_):
  Length of the generated clip in seconds.
  - Default: `5`
  - Range: `4` to `15`

- **`resolution`** (`resolution`, _optional_):
  Output resolution of the clip. Higher resolutions cost more, because generation tokens scale with the output width and height.
  - Default: `"720p"`
  - Options: `"480p"`, `"720p"`, `"1080p"`

- **`aspect_ratio`** (`aspect_ratio`, _optional_):
  Frame shape of the generated clip. Set adaptive to follow the shape of the source footage.
  - Default: `"16:9"`
  - Options: `"16:9"`, `"4:3"`, `"1:1"`, `"3:4"`, `"9:16"`, `"21:9"`, `"adaptive"`

- **`generate_audio`** (`boolean`, _optional_):
  Generate a synchronized soundtrack (dialogue, ambience and sound effects) together with the picture. Set false for a silent clip; the price is the same either way.
  - Default: `true`

- **`reference_audios`** (`array<string>`, _optional_):
  Up to 3 optional audio references the generated soundtrack should follow. MP3 or WAV, under 15 MB each and 15 seconds combined. Addressed as @Audio1..@Audio3.

- **`reference_images`** (`array<string>`, _optional_):
  Up to 9 optional reference images that steer identity, wardrobe, product, location or style. JPEG, PNG or WebP, under 30 MB each. Addressed as @Image1..@Image9.

- **`reference_videos`** (`array<string>`, _required_):
  Reference clips that steer motion, camera movement and pacing. Address them in the prompt as @Video1, @Video2, @Video3 - numbered by their order in this array. MP4 or MOV (H.264/H.265), 2-15 seconds per file and no more than 15 seconds COMBINED across up to 3 files, 480p-4k, 24-60 fps, under 200 MB each. Billing scales with the total duration you send here as well as the length of the clip you generate, so shorter references cost less.

### Output Schema

_No `Output` schema properties are available._

## Default Example

**Input**

```json
{
  "prompt": "Match the camera rhythm and warm firelight of @Video1, but stage it in a quiet pottery studio where a potter's wet hands draw up a tall clay vessel on a spinning wheel.",
  "duration": 5,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "generate_audio": true,
  "reference_videos": [
    "https://media.modelrunner.ai/tFcPmwL2bKd4L29uVMDxZ.mp4"
  ]
}
```

**Output**

```json
"https://media.modelrunner.ai/XDRNb6U4QmCrUr4Tpkt9Y.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-v2/video-to-video \
  --header "Authorization: Key $MODEL_RUNNER_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "Match the camera rhythm and warm firelight of @Video1, but stage it in a quiet pottery studio where a potter'\''s wet hands draw up a tall clay vessel on a spinning wheel.",
  "duration": 5,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "generate_audio": true,
  "reference_videos": [
    "https://media.modelrunner.ai/tFcPmwL2bKd4L29uVMDxZ.mp4"
  ]
}')

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-v2/video-to-video", {
  input: {
  "prompt": "Match the camera rhythm and warm firelight of @Video1, but stage it in a quiet pottery studio where a potter's wet hands draw up a tall clay vessel on a spinning wheel.",
  "duration": 5,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "generate_audio": true,
  "reference_videos": [
    "https://media.modelrunner.ai/tFcPmwL2bKd4L29uVMDxZ.mp4"
  ]
}
});

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

### Python

```python
import asyncio
import modelrunner_ai

async def main():
    response = await modelrunner_ai.submit_async(
        "bytedance/seedance-v2/video-to-video",
        arguments={
  "prompt": "Match the camera rhythm and warm firelight of @Video1, but stage it in a quiet pottery studio where a potter's wet hands draw up a tall clay vessel on a spinning wheel.",
  "duration": 5,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "generate_audio": true,
  "reference_videos": [
    "https://media.modelrunner.ai/tFcPmwL2bKd4L29uVMDxZ.mp4"
  ]
}
    )
    result = await response.get()
    print(result["output"])

asyncio.run(main())
```

## Additional Resources

- [Playground](https://modelrunner.ai/models/bytedance/seedance-v2/video-to-video)
- [OpenAPI Schema](https://modelrunner.ai/models/bytedance/seedance-v2/video-to-video/openapi.json)
- [LLM Instructions](https://modelrunner.ai/models/bytedance/seedance-v2/video-to-video/llms.txt)