Bytedance Seedream V5.0 Pro Edit

Bytedance Seedream V5.0 Pro Edit

Playground

Seedream 5.0 Pro Edit by ByteDance edits and generates images from single-image or multi-reference inputs, supporting up to 10 reference images, aspect ratio selection, and 1K / 2K output tiers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Seedream V5.0 Pro Edit

Seedream V5.0 Pro Edit is ByteDance’s advanced image editing model for single-image and multi-reference image generation. Upload one or more reference images, describe the desired edit with a text prompt, and generate a high-quality edited image with flexible aspect ratio, resolution, and output format settings.

Why Choose This?

• Multi-image reference editing
  Use up to 10 reference images for complex edits, compositions, and visual guidance.

• Natural language editing
  Describe the desired edit in plain text and let the model transform the input images accordingly.

• Pro image quality
  Designed for high-quality image editing with strong prompt adherence and polished visual output.

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

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

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

Parameters

How to Use

1. Upload reference images — Provide one or more images to guide the edit.
2. Write your prompt — Describe what should change and what should stay the same.
3. Choose aspect ratio — Select a supported aspect ratio, or leave it empty to follow the closest supported ratio from the first input image.
4. Choose resolution — Use 1k for lower-cost edits or 2k for higher-resolution output.
5. Choose output format — Select jpeg or png.
6. Submit — Generate the final edited image.

Pricing

Pricing includes the selected output resolution plus reference image input cost. The first input image is included; each additional input image costs $0.003.

Best Use Cases

• Single-image editing — Edit one source image with natural-language instructions.
• Multi-reference composition — Use multiple images to guide complex edits and visual combinations.
• Product image editing — Refine product visuals, backgrounds, styles, and presentation.
• Character and style guidance — Use reference images to preserve identity, outfit, mood, or visual style.
• Marketing image workflows — Generate polished edited assets for campaigns, social media, and product content.
• Creative iteration — Test different edit directions using the same reference images.

Pro Tips

• Use clear prompts that describe both what should change and what should remain unchanged.
• Use multiple reference images when identity, product details, or style consistency matters.
• Leave aspect_ratio empty when you want the output to follow the closest supported ratio from the first input image.
• Choose 1k for lower-cost editing and fast iteration.
• Choose 2k when you need higher-resolution final output.
• Use jpeg for general-purpose edited images and png when PNG output is needed.
• Keep reference images clear, relevant, and visually consistent with the desired edit.

Related Models

• Seedream V5.0 Pro — Generate images from text prompts.
• Seedream V5.0 Lite Edit — Lightweight image editing model.

<ApiPage model={model}>
  ## Authentication

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

  ## API Endpoints

  ### Submit Task & Query Result

  ## Parameters

  ### Task Submission Parameters

  #### Request Parameters

  #### 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, the ID of the prediction to get |
  | data.model | string | Model ID used for the prediction |
  | data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
  | data.urls | object | Object containing related API endpoints |
  | data.urls.get | string | URL to retrieve the prediction result |
  | data.status | string | Status of the task: `created`, `processing`, `completed`, or `failed` |
  | data.created_at | string | ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z") |
  | 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 |

</ApiPage>