# Bytedance Dreamina Seedance 2.0 Mini 260615 — Reference To Video

> Access Seedance 2.0 Mini video generation via our unified API. Generate high-speed 2.0 animations with Seedance's advanced human kinematics on GPTProto.com.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/doubao/dreamina-seedance-2-0-mini-260615/reference-to-video`
- **Result URL**: `GET https://gptproto.com/api/v3/predictions/{result_id}/result` — the submit response also returns the authoritative URL in `data.urls.get`
- **Model ID**: `dreamina-seedance-2-0-mini-260615`
- **Vendor**: Bytedance
- **Scene**: `reference-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Playground**: https://gptproto.com/model/bytedance/dreamina-seedance-2-0-mini-260615/reference-to-video
- **API documentation**: https://docs.gptproto.com
- **Other scenes of this model**: `text-to-video`, `image-to-video` — same auth, different endpoint path and input schema

## Authentication

Every request needs a GPTProto API key in the `Authorization` header. Create one at https://gptproto.com/dashboard/api-key, then export it:

```bash
export GPTPROTO_API_KEY="your-api-key"
```

Header: `Authorization: Bearer $GPTPROTO_API_KEY` (plus `Content-Type: application/json` on POST).

## Pricing

Platform price by tier (USD, already includes the GPTProto discount):

- Cheapest tier — **480p · 1:1**: $0.0591 per second
- Most expensive tier — **720p · 4:3 · custom 15s+15s**: $2.37 per run
- 2028 priced tiers in total; the parameters below select the tier.
  - `resolution`: 480p, 720p
  - `ratio`: 1:1, 16:9, 21:9, 3:4, 4:3, 9:16
  - `duration`: 4–15
  - `use_custom_video`: no, yes
  - `custom_video_duration`: 2–15
- Example — use_custom_video=no, resolution=480p, ratio=1:1, duration=4: $0.2365
- Example — use_custom_video=no, resolution=480p, ratio=1:1, duration=13: $0.7688
- Example — use_custom_video=no, resolution=720p, ratio=4:3, duration=15: $2.01

Price range: $0.2365 – $2.01 per generation.

Prices may change. The model page always shows the live price: https://gptproto.com/model/bytedance/dreamina-seedance-2-0-mini-260615/reference-to-video

## API Information

The API is asynchronous: POST the endpoint to create a prediction, then poll its result URL until `status` is `completed` or `failed`.

### Input Schema

The endpoint accepts the following JSON body parameters:

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

- **`images`** (`string[]`, _optional_):
  Including reference images of the element, scene, style, etc. Max 10

- **`videos`** (`string[]`, _optional_):
  Array of URLs to reference videos.

- **`audios`** (`string[]`, _optional_):

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

- **`duration`** (`range`, _optional_):
  The duration of the generated media in seconds.
  - Default: `5`
  - Range: 4–15

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

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

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

- **`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
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle"
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "images": [],
  "videos": [],
  "audios": [],
  "aspect_ratio": "16:9",
  "duration": 5,
  "resolution": "720p",
  "generate_audio": true,
  "camera_fixed": false,
  "seed": -1
}
```

### Output Schema

Both submit and poll return the same envelope:

- **`data.id`** (`string`): Prediction id. Use it as `result_id` when polling for the result.
- **`data.status`** (`string`): One of `created`, `running`, `completed`, `failed`. See Status Values below.
- **`data.outputs`** (`array of string`): Generated files. Empty until `status` is `completed`; then it holds the output URLs (or base64 strings when the model exposes a base64 option).
- **`data.urls.get`** (`string`): Authoritative result URL for this prediction. Prefer it over building the poll URL yourself.
- **`data.error`** (`string | null`): Failure reason when `status` is `failed`, otherwise `null`.
- **`data.executionTime`** (`integer`): Total processing time in milliseconds.
- **`data.timings.inference`** (`integer`): Model inference time in milliseconds.
- **`data.hasNsfwContents`** (`array of boolean`): Per-output moderation flags.
- **`message`** (`string`): `success` on a normal response, otherwise the error message.
- **`code`** (`integer`): Business status code. `200` means the request was accepted.

**Example Response — submit (task accepted)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "dreamina-seedance-2-0-mini-260615",
    "outputs": [],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "hasNsfwContents": [],
    "status": "created",
    "createdAt": "2026-01-01T12:00:00Z",
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  },
  "message": "success",
  "code": 200
}
```

**Example Response — poll (completed)**:

```json
{
  "data": {
    "id": "pred_example_01",
    "model": "dreamina-seedance-2-0-mini-260615",
    "outputs": [
      "https://oss-us.gptproto.com/example/output.mp4"
    ],
    "urls": {
      "get": "https://gptproto.com/api/v3/predictions/pred_example_01/result"
    },
    "status": "completed",
    "error": null,
    "executionTime": 12345,
    "timings": {
      "inference": 12000
    },
    "has_nsfw_contents": [],
    "created_at": "2026-01-01T12:00:00Z"
  },
  "message": "success",
  "code": 200
}
```

### Status Values

- `created` — Task accepted. Use `data.id` as `result_id` for polling.
- `running` — Generation is in progress. Keep polling.
- `completed` — Finished successfully. Generated files are in `data.outputs`.
- `failed` — Generation failed. Read `data.error` for the reason.

## Usage Examples

### 1. Submit a request

```bash
curl --request POST "https://gptproto.com/api/v3/doubao/dreamina-seedance-2-0-mini-260615/reference-to-video" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
    "images": [],
    "videos": [],
    "audios": [],
    "aspect_ratio": "16:9",
    "duration": 5,
    "resolution": "720p",
    "generate_audio": true,
    "camera_fixed": false,
    "seed": -1
  }'
```

```python
import os
import requests

url = "https://gptproto.com/api/v3/doubao/dreamina-seedance-2-0-mini-260615/reference-to-video"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}",
  "Content-Type": "application/json"
}
payload = {
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "images": [],
  "videos": [],
  "audios": [],
  "aspect_ratio": "16:9",
  "duration": 5,
  "resolution": "720p",
  "generate_audio": True,
  "camera_fixed": False,
  "seed": -1
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())
```

```typescript
const response = await fetch("https://gptproto.com/api/v3/doubao/dreamina-seedance-2-0-mini-260615/reference-to-video", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "A tiny origami fox sailing a teacup across a moonlit puddle",
    images: [],
    videos: [],
    audios: [],
    aspect_ratio: "16:9",
    duration: 5,
    resolution: "720p",
    generate_audio: true,
    camera_fixed: false,
    seed: -1,
  }),
});

const data = await response.json();
console.log(data);
```

### 2. Poll until the task finishes

Replace `YOUR_RESULT_ID` with `data.id` from the submit response (or call `data.urls.get` directly), and keep polling every 1–3 seconds while `status` is `created` or `running`.

```bash
result_id="YOUR_RESULT_ID"

curl --request GET "https://gptproto.com/api/v3/predictions/$result_id/result" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY"
```

```python
import os
import requests

result_id = "YOUR_RESULT_ID"
url = f"https://gptproto.com/api/v3/predictions/{result_id}/result"
headers = {
  "Authorization": f"Bearer {os.environ['GPTPROTO_API_KEY']}"
}
response = requests.request("GET", url, headers=headers)
print(response.json())
```

```typescript
const result_id = "YOUR_RESULT_ID";
const response = await fetch(`https://gptproto.com/api/v3/predictions/${result_id}/result`, {
  method: "GET",
  headers: {
    "Authorization": `Bearer ${process.env.GPTPROTO_API_KEY}`,
  },
});

const data = await response.json();
console.log(data);
```

## Example Prompts

- Seamlessly continue from the previous frame in the same late-night interview studio. Keep all five people in the exact same positions and maintain their identities, clothing, hairstyles, facial features, and proportions. The background LED screen still clearly reads “TONIGHT: STR…
- She looks at the old photograph, then slowly lifts her eyes toward the distant sea. Wind pulls at her coat and hair, waves hit the rocks below, and the camera slowly pulls back to reveal how small she is against the coastline.
- Transform the source video into a cozy midnight magical cooking scene while preserving the original chef, kitchen layout, camera movement, and main action. Keep the chef stirring the pot naturally, but add glowing herbs, spices, and small ingredients floating gently above the pot…

## HTTP Status Codes

- `400` — malformed body, a parameter or value this model does not accept, or input blocked by the provider's content moderation
- `401` — missing or invalid API key
- `403` — insufficient credits
- `413` — request body too large
- `429` — rate limited; retry with backoff
- `500` — An internal server error occurred
- `502` — An internal server error occurred
- `504` — Gateway timeout — upstream service did not respond in time; retry later

## Additional Resources

- [Model playground](https://gptproto.com/model/bytedance/dreamina-seedance-2-0-mini-260615/reference-to-video)
- [API documentation](https://docs.gptproto.com)
- [All models](https://gptproto.com/model)
- [API keys](https://gptproto.com/dashboard/api-key)
- [Platform overview for LLMs](https://gptproto.com/llm-full.txt)
- Any other model: `https://gptproto.com/model/{vendor}/{model}/{scene}/llms.txt`