# Bytedance Dreamina Seedance 2.0 Mini 260615 — Image To Video

> Access the Seedance 2.0 Mini API for low-latency AI video and image generation. Build TikTok ads and animations via GPTProto.com's unified billing interface.

## Overview

- **Endpoint**: `POST https://gptproto.com/api/v3/doubao/dreamina-seedance-2-0-mini-260615/image-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**: `image-to-video`
- **Category**: image-to-video
- **Modalities**: input image → output video
- **Playground**: https://gptproto.com/model/bytedance/dreamina-seedance-2-0-mini-260615/image-to-video
- **API documentation**: https://docs.gptproto.com
- **Other scenes of this model**: `text-to-video`, `reference-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/image-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.

- **`image`** (`string`, _required_):
  The positive prompt for the generation.
  - Max items: 12

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

- **`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

- **`is_upload_media`** (`enum`, _optional_):
  Whether to upload real-person content.
  - Default: `true`
  - Options: false, true

- **`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",
  "image": ""
}
```

**Full Example**:

```json
{
  "prompt": "A tiny origami fox sailing a teacup across a moonlit puddle",
  "image": "",
  "last_image": "",
  "aspect_ratio": "16:9",
  "duration": 5,
  "resolution": "720p",
  "is_upload_media": "true",
  "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/image-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",
    "image": "",
    "last_image": "",
    "aspect_ratio": "16:9",
    "duration": 5,
    "resolution": "720p",
    "is_upload_media": "true",
    "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/image-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",
  "image": "",
  "last_image": "",
  "aspect_ratio": "16:9",
  "duration": 5,
  "resolution": "720p",
  "is_upload_media": "true",
  "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/image-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",
    image: "",
    last_image: "",
    aspect_ratio: "16:9",
    duration: 5,
    resolution: "720p",
    is_upload_media: "true",
    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

- The wizard slowly sips his Slurpee through a straw, then accidentally turns the hot dog roller rack into snakes with a twitch of his staff, jumps back startled, snakes slithering everywhere
- He finishes wrapping his hands, stands up, and breath deeply before pushing open the locker room door. Noise from the crowd grows louder, light spills into the room, and the camera follows from behind as he walks toward the fight.
- Let the knowledge from the textbooks be absorbed by the girl, as if by magic, swirling around her and radiating a golden glow.

## 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/image-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`