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generate_with_ip_adapter

Generate an image from a text prompt guided by a reference image via IP-Adapter for style, subject, or visual influence. Control strength with weight.

Instructions

Generate an image using a reference image as an IP-Adapter visual/style/subject guide. Requires the ComfyUI-IPAdapter-plus custom node pack and the preset's matching models (IPAdapter weights + CLIP vision). Weight tunes how strongly the reference guides generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText prompt for the generated image.
negative_promptNo
reference_image_urlYesURL of the reference image that IP-Adapter uses as a visual/style/subject guide.
presetNoIP-Adapter preset (picks the matching IPAdapter + CLIP Vision models). Common values: LIGHT - SD1.5 only (low strength) | STANDARD (medium strength) | VIT-G (medium strength) | PLUS (high strength) | PLUS FACE (portraits) | FULL FACE - SD1.5 only (portraits stronger)STANDARD (medium strength)
weightNoHow strongly the reference guides the output.
start_atNo
end_atNo
widthNo
heightNo
stepsNo
cfgNo
seedNo
checkpointNo
Behavior2/5

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

No annotations are provided, so the description carries full burden. It explains that 'Weight tunes how strongly the reference guides generation' but fails to disclose other behavioral traits such as error handling, authentication needs, or potential destructive actions. For a complex tool with 13 parameters, this is insufficient.

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?

The description consists of three sentences, each adding value: purpose, prerequisites, and weight guidance. It is front-loaded with the main purpose. Could be slightly more structured, but overall efficient.

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

Completeness2/5

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

Given 13 parameters, no output schema, and no annotations, the description is incomplete. It does not explain the return format, error conditions, or the behavior of many parameters. The tool is complex, and the description leaves significant gaps.

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

Parameters2/5

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

Schema description coverage is only 31%. The description adds context for weight and lists preset values, but many parameters (e.g., negative_prompt, start_at, end_at, steps, cfg, seed, checkpoint) are left unexplained in both schema and description. The description does not compensate for the low coverage.

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's purpose: 'Generate an image using a reference image as an IP-Adapter visual/style/subject guide.' The verb 'generate' and resource 'image' are specific, and the inclusion of 'IP-Adapter' distinguishes it from sibling tools like generate_with_controlnet.

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?

The description mentions prerequisites: 'Requires the ComfyUI-IPAdapter-plus custom node pack and the preset's matching models.' This helps the agent know if the tool is usable. However, it does not explicitly state when not to use this tool or recommend alternatives among siblings.

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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