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Rd Cn Img2Img

rd_cn_img2img

Transform an input image into pixel art using ControlNet guidance and a text prompt, with adjustable strength.

Instructions

ControlNet Image to Image: same as rd_cn_txt2img plus a source image (appended after the ControlNet slots, resized to 512 like the UI) and strength 0-100.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
swapNo
lorasNo
modelNomodel.pxlm
rembgNo
stepsNo
widthNo
heightNo
promptYes
light_xNo
light_yNo
light_zNo
comp_hueNo
negativeNo
pixelvaeNo
strengthNo
use_ellaNo
adherenceNo
cfg_scaleNo
comp_tintNo
save_gridNo
image_pathYes
pixel_sizeNo
controlnetsYes
generationsNo
light_applyNo
palette_urlNo
size_presetNo
comp_outlineNo
post_processNo
return_imageNo
add_to_promptNo
comp_contrastNo
palette_filesNo
prompt_tuningNo
save_progressNo
control_imagesYes
comp_brightnessNo
comp_saturationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does add useful behavior: the source image is appended after ControlNet slots and resized to 512, and strength is bounded 0-100. However, it says nothing about return values, output behavior, or side effects, so the disclosure is incomplete.

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

Conciseness5/5

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

Two compact sentences front-load the purpose and state the exact differences with no filler. The parenthetical packs useful behavior without bloating the text.

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?

The tool is complex (39 parameters, 4 required, no output schema, no annotations), and the description only covers the delta from rd_cn_txt2img. An agent would still lack the shared parameter semantics, expected output, and invocation defaults needed to call it confidently.

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 description coverage is 0%, so the description must compensate. It adds meaning for the delta parameters (source image, appended after ControlNet slots, strength 0-100) and references rd_cn_txt2img for the rest. Most of the 39 parameters still lack direct explanation, but the cross-reference and delta details provide partial 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?

Names the operation as "ControlNet Image to Image" and sharpens it by pointing to rd_cn_txt2img plus a source image and strength parameter. This directly distinguishes it from the most similar sibling.

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 makes clear this variant is appropriate when a source image should drive ControlNet generation, and implicitly points to rd_cn_txt2img when no source image is needed. It does not spell out exclusions versus other img2img or API 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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