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seedream_edit_image

Modify existing images using text instructions. Change styles, backgrounds, attributes, or apply virtual try-on by providing image URLs and descriptive prompts.

Instructions

Edit or modify existing images using ByteDance's Seedream/SeedEdit model.

This tool modifies existing images based on text instructions. It can change
styles, backgrounds, attributes, clothing, and more. Supports single or
multiple image inputs.

Use this when:
- You want to modify or transform an existing image
- You need to change style, background, colors, or attributes
- You want to apply artistic transformations (watercolor, oil painting, etc.)
- You need virtual try-on (clothing on person)
- You want to place objects in different scenes

Common use cases:
- Style transfer: "Convert to anime style", "Make it look like a pencil sketch"
- Background change: "Replace background with a sunset beach"
- Attribute edit: "Change hair color to blonde", "Add sunglasses"
- Virtual try-on: Provide person image + clothing image
- Scene composition: Place products in realistic environments

Returns:
    JSON with task_id, trace_id, success status, and edited image data
    including image URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the edit to perform on the image(s). Describe what changes you want. Example: 'Change the background to a beach scene', 'Make the person wear a red dress', 'Convert to watercolor painting style'
imageYesList of image URLs or base64-encoded images to edit. Supports HTTP/HTTPS URLs (publicly accessible) or base64 format (data:image/png;base64,...). Each image must be under 10MB.
modelNoModel to use for editing. 'doubao-seededit-3-0-i2i-250628' (dedicated editing model, best for image modification). Other models can also be used for editing when images are provided.doubao-seededit-3-0-i2i-250628
sizeNoOutput image resolution. '1K' (default), '2K', '3K', '4K', or 'adaptive'.
seedNoRandom seed for reproducible edits. Range: [-1, 2147483647]. Default is -1 (random). Only works with v3 models.
guidance_scaleNoPrompt weight — higher values make edits follow the prompt more closely. Range: [1, 10]. Default is 5.5 for doubao-seededit-3-0-i2i. Only works with v3 models.
response_formatNoResponse format. 'url' (default) or 'b64_json'.
watermarkNoWhether to add an AI-generated watermark. Default is true.
output_formatNoOutput image format. 'jpeg' (default) or 'png'.
callback_urlNoOptional webhook URL for async result notification.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so description must fully disclose behavior. It only mentions basic return JSON and lacks details on side effects, rate limits, async processing, or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with bullet points and clear sections, though the 'Common use cases' list partially overlaps with 'Use this when' list.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers core purpose and return format but lacks details on multi-image handling, error responses, or processing delays.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds no extra parameter meaning beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool edits existing images using a specific model, and the 'Use this when' list differentiates it from generation tools like seedream_generate_image.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit scenarios for when to use (style transfer, background change, etc.), but does not explicitly contrast with sibling tools or state when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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