Bytedance Seedance 2.0 Mini Text To Video Turbo

Bytedance Seedance 2.0 Mini Text To Video Turbo

Playground

Seedance 2.0 Mini Text to Video Turbo is ByteDance’s faster, lower-cost text-to-video model for cinematic multi-shot videos. It generates narrative sequences from text prompts 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 Text-to-Video Turbo generates videos from natural-language prompts with optional reference images, videos, and audio. Describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

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

Why Choose This?

• Turbo text-to-video generation
  Generate videos directly from text prompts with a faster turbo workflow.

• Reference-guided generation
  Add reference images, videos, or audio to guide visual style, characters, scene composition, motion, or audio direction.

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

• Flexible aspect ratios
  Supports 16:9, 9:16, 4:3, 3:4, 1:1, and 21:9 for different video layouts.

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

• Web search option
  Enable enable_web_search when the prompt needs real-time information.

Parameters

How to Use

1. Write your prompt — Describe the scene, subject, action, camera movement, lighting, and mood.
2. Add references optional — Upload reference images, videos, or audio when you want stronger guidance.
3. Choose aspect ratio — Select the output format, such as 16:9, 9:16, or 1:1.
4. Choose resolution — Select 720p or 1080p.
5. Set duration — Choose a duration between 4 and 15 seconds.
6. Configure audio optional — Keep generate_audio enabled for synchronized native audio, or disable it if audio is not needed.
7. Submit — Generate the final video.

Example Prompt

A cinematic night market scene, warm lantern light, people walking through a narrow street, soft camera tracking movement, steam rising from food stalls, realistic atmosphere, gentle ambient motion, rich colors, detailed urban background.

Pricing

Per 5 Seconds

Per Second

Example Costs

Best Use Cases

• Turbo text-to-video generation — Create short videos directly from natural-language prompts.
• Reference-to-video workflows — Use reference images, videos, or audio to guide the generated video.
• Cinematic short clips — Generate videos with camera movement, atmosphere, and synchronized audio.
• Character and style consistency — Use reference images to guide characters, visual style, or scene composition.
• Motion and audio guidance — Use reference videos or audio to guide motion direction or sound style.
• Social media content — Generate vertical, square, landscape, or ultra-wide video formats.
• Creative prototyping — Test scene ideas, visual concepts, and motion directions quickly.

Pro Tips

• Be specific about scene, action, camera movement, lighting, and mood.
• Use reference images when character, style, or composition consistency matters.
• Use reference videos when motion direction is important.
• Use reference audio when the generated video should follow a specific audio style or sound direction.
• Keep generate_audio enabled when you want the output video to include synchronized native audio.
• Choose an aspect ratio based on the final format, such as 9:16 for vertical content or 16:9 for widescreen video.

Related Models

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

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**Notice:** Use `@image1`, `@image2`, `@audio1`, etc. to reference your uploaded assets. The references will stay as plain text—don't worry.

## 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 |