Bytedance Seedance 2.0 Mini Text To Video

Bytedance Seedance 2.0 Mini Text To Video

Playground

Seedance 2.0 Mini Text to Video 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 across scenes, 480P / 720P / 1080P / 4K output, 4-15s 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 generates videos from natural-language prompts, with optional reference images, videos, and audio for stronger visual and motion guidance. Describe the scene, action, camera movement, and mood, then choose aspect ratio, resolution, duration, and audio generation settings.

• Need to generate from a start image instead? Try ByteDance Seedance 2.0 Mini Image-to-Video.

Why Choose This?

• Prompt-based video generation
  Generate videos directly from text prompts describing the scene, action, camera movement, and mood.

• 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 480p, 720p, 1080p, or 4k.

• 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 480p, 720p, 1080p, or 4k.
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

• 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.
• Use 480p for quick testing, 720p for standard output, 1080p for higher-resolution results, and 4k for maximum-resolution output.
• 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.

Notes

• Although this endpoint is named Text-to-Video, it also supports reference-to-video workflows through reference_images, reference_videos, and reference_audios.

Related Models

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

## 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 |