Bytedance Seedance 2.0 Mini Image To Video Turbo

Bytedance Seedance 2.0 Mini Image To Video Turbo

Playground

Seedance 2.0 Mini Image to Video Turbo is ByteDance’s faster, lower-cost image-to-video model for cinematic multi-shot videos. It turns reference images and optional text prompts into narrative sequences with AI camera control, consistent characters, 720P / 1080P output, 5-12s duration, and flexible aspect ratios. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

ByteDance Seedance 2.0 Mini Image-to-Video Turbo generates videos from a start image and text prompt. Upload an image, describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

• Need the standard image-to-video version instead? Try ByteDance Seedance 2.0 Mini Image-to-Video.
• Need to generate from text instead? Try ByteDance Seedance 2.0 Mini Text-to-Video.

Why Choose This?

• Turbo image-to-video generation
  Generate videos from a start image with a faster turbo workflow.

• Prompt-guided motion control
  Describe the scene, action, camera movement, and mood for the generated video.

• Optional last-frame guidance
  Provide last_image to guide the final frame or continuation direction.

• Native audio generation
  Generate synchronized audio together with the output video using generate_audio.

• Flexible aspect ratios
  Choose from 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9, or let the output adapt to the input image.

• Resolution options
  Generate videos in 720p or 1080p.

Parameters

How to Use

1. Write your prompt — Describe the scene, subject, action, camera movement, lighting, and mood.
2. Upload the start image — Provide the image that should guide the video generation.
3. Add a last image optional — Use last_image when you want to guide the final frame or ending direction.
4. Choose aspect ratio optional — Select a supported aspect ratio, or leave it empty to adapt to the input image.
5. Choose resolution — Select 720p or 1080p.
6. Set duration — Choose a duration between 4 and 15 seconds.
7. Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not needed.
8. Submit — Generate the final video.

Example Prompt

A cinematic shot of the character slowly walking through a neon-lit street at night, soft rain falling, reflections on the wet pavement, gentle camera movement, atmospheric lighting, calm but dramatic mood.

Pricing

Per 5 Seconds

Per Second

Example Costs

Best Use Cases

• Turbo image-to-video generation — Generate short videos from a start image and prompt.
• Start-and-end-frame guidance — Use image and last_image to guide the beginning and ending of the video.
• Cinematic short clips — Create video scenes with motion, atmosphere, and synchronized audio.
• Social media content — Generate vertical, square, landscape, or ultra-wide video formats.
• Creative prototyping — Test scene ideas, motion concepts, and visual directions from a reference image.

Pro Tips

• Use a clear start image with the main subject visible.
• Use last_image when the final frame or ending direction matters.
• Keep prompts focused on visible motion, camera behavior, lighting, and mood.
• Use 720p for lower-cost generation and 1080p for higher-resolution output.
• Keep generate_audio enabled when you want the video to include synchronized native audio.
• Choose an aspect ratio that matches your final format, such as 9:16 for vertical content or 16:9 for widescreen video.

Related Models

• ByteDance Seedance 2.0 Mini Image-to-Video — Generate video from a start image and prompt.
• ByteDance Seedance 2.0 Mini Text-to-Video — Generate video directly from text prompts.

## Authentication

For authentication details, please refer to the [Authentication Guide](/api-authentication).

## API Endpoints

### Submit Task & Query Result

<ApiTabs submitUrl={model.submitUrl} resultUrl={model.resultUrl} payload={model.defaultValues} />

## Parameters

### Task Submission Parameters

#### Request Parameters

<RequestParams params={model.params} />

#### Response Parameters

<SubmitResponse />

#### Result Request Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| id | string | Yes | - | Task ID |

#### Result Response Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., "success") |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array&lt;string \| object&gt; | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: `created`, `processing`, `completed`, or `failed` |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |