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seedream_edit_image

Edits images by applying style transfers, background changes, attribute modifications, or virtual try-on based on text 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
Behavior3/5

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

No annotations provided, so description carries full burden. Mentions modification, single/multiple inputs, and return format (JSON with task_id, trace_id, etc.). However, does not disclose async behavior, authentication needs, rate limits, or potential side effects. The callback_url parameter hints at async but is not explained.

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 for use cases and examples. Front-loaded with core purpose. Slightly long but every section adds value.

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 purpose, use cases, and return format. However, missing details on async behavior, error handling, and limitations (e.g., image size limit mentioned in schema but not in description). Given complexity (10 params, no annotations, output schema exists), description is adequate but not fully comprehensive.

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% with descriptions for all 10 parameters. The description adds overall context and use cases but does not significantly enhance parameter understanding beyond what the schema already provides.

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 ByteDance's Seedream/SeedEdit model, with specific verb 'edit' and resource 'existing images'. It distinguishes from sibling tools like seedream_generate_image, which generates new images.

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 'Use this when:' list and common use cases (style transfer, background change, etc.). Does not explicitly state when not to use, but contextual differentiation from generation is clear.

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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