Skip to main content
Glama

seedream_edit_image

Edit images with text instructions: change style, background, attributes, or clothing. Supports virtual try-on and scene composition.

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. Describes return format and async option via callback_url, but lacks details on rate limits, authentication, or destructive behavior (e.g., modifying originals). Adequately covers basic behavioral traits.

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 brief intro, bullet points, and separate sections for use cases and returns. Slightly lengthy but front-loaded and organized.

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

Completeness4/5

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

Given 10 parameters, full schema coverage, and presence of output schema (though not shown), the description covers purpose, use cases, and return format. Lacks detail on error handling and asynchronous behavior but is fairly complete.

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?

All 10 parameters have descriptions in the schema (100% coverage), so baseline is 3. The description adds overall context but does not provide significant additional meaning beyond what's in the schema for each parameter.

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/modifies existing images using Seedream/SeedEdit, lists specific capabilities (styles, backgrounds, attributes, clothing), and distinguishes from siblings 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:' bullet points and common use cases. Does not explicitly state when not to use, but the sibling names imply alternatives for generation or retrieval.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AceDataCloud/SeedreamMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server