Browse ModelsBytedanceBytedance Seedream V5.0 Pro

Bytedance Seedream V5.0 Pro

Bytedance Seedream V5.0 Pro

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Seedream V5.0 Pro Text to Image by ByteDance generates high-quality images from text prompts, with aspect ratio selection, strong prompt following, and 1K / 2K output tiers for flexible image creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Pro is a multimodal image model built for professional work: high-density infographics, precise composition, photographic realism, and native multilingual text.


Why Choose This?

  • Pro image quality
    Designed for high-quality image generation with strong prompt adherence.

  • Simple resolution tiers
    Choose 1k for lower-cost generation or 2k for higher-resolution output.

  • Flexible aspect ratios
    Supports square, portrait, landscape, tall, and wide aspect ratios.

  • Standard output formats
    Generate images in jpeg or png format.

  • Clean text-to-image workflow
    Provide a prompt, choose the output settings, and generate the final image.


Parameters

ParameterRequiredDescription
promptYesText description of the desired image.
aspect_ratioNoOutput aspect ratio.
resolutionNoOutput resolution tier: 1k or 2k.
output_formatNoOutput format: jpeg or png.

How to Use

  1. Write your prompt — Describe the subject, scene, style, lighting, composition, and visual details.
  2. Choose aspect ratio — Select the layout that matches your target format.
  3. Choose resolution — Use 1k for lower-cost drafts or 2k for higher-resolution output.
  4. Choose output format — Select jpeg or png.
  5. Submit — Generate the final image.

Pricing

ResolutionCost
1k$0.045
2k$0.090

Best Use Cases

  • High-quality image generation — Create polished images from detailed text prompts.
  • Marketing visuals — Generate campaign assets, social media graphics, and promotional images.
  • Creative concepting — Explore characters, environments, products, and visual styles.
  • Layout-specific assets — Generate square, portrait, landscape, tall, or wide-format images.
  • Production image workflows — Use 2k when higher-resolution output is needed.

Pro Tips

  • Use detailed prompts with subject, composition, lighting, style, mood, and background details.
  • Choose 1k for faster and lower-cost prompt iteration.
  • Choose 2k when you need higher-resolution final images.
  • Use 9:16 for vertical mobile content and 16:9 for widescreen layouts.
  • Use jpeg for general-purpose images and png when PNG output is needed.
  • Keep prompts clear and focused for stronger prompt adherence.


## 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 |
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