json-to-comfy

Convert image-description JSON into ComfyUI prompts and workflow settings.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/williamsforeal/Cyclone-SS --skill json-to-comfy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: json-to-comfy
Source: https://github.com/williamsforeal/Cyclone-SS/tree/main/.cursor/skills/json-to-comfy
Command: npx skills add https://github.com/williamsforeal/Cyclone-SS --skill json-to-comfy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the manual prompt-writing work of converting structured image descriptions (JSON) into ComfyUI-ready prompts, settings, and product placement instructions.

Core Features & Use Cases

  • JSON-to-prompt conversion: Translates subject, accessories, photography, and background fields into a cohesive positive prompt.
  • Quality-safe negative prompts: Produces a negative prompt that reduces common AI artifacts, with optional tailoring based on makeup/UGC/camera cues.
  • ComfyUI configuration generation: Extracts usable technical settings (model guidance, aspect ratio mapping, sampler defaults, optional ControlNet/product placement instructions).
  • Use Case: Given JSON output from an image-to-JSON workflow, generate multiple consistent UGC ad variants by swapping in a specific product name while keeping pose/composition cues aligned.

Quick Start

Use the json-to-comfy skill to convert the full JSON from /image-to-json into a ComfyUI positive prompt, negative prompt, and settings by running /json-to-comfy [json-input] [product-name] and pasting the entire JSON.

Frequently Asked Questions about json-to-comfy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert JSON scene data into ComfyUI prompts and settings?

You convert JSON to ComfyUI prompts by running the conversion process with your JSON input and target product name. It translates structured image-description fields into cohesive positive prompts, quality-safe negative prompts, and mapped ComfyUI dimensions and sampler settings.

Can I generate consistent UGC ad variants by swapping product names in ComfyUI?

Generating consistent UGC ad variants by swapping product names in ComfyUI is supported by implementing product-name replacement rules. It keeps pose and composition cues aligned while swapping the specific product into the structured prompt output.

Does this approach automatically map JSON aspect ratios to ComfyUI dimensions?

Mapping JSON aspect ratios to ComfyUI dimensions is handled automatically during the conversion process. It extracts usable technical settings, including model guidance, sampler defaults, and concrete dimension mappings for the ComfyUI workflow.

How do I create negative prompts that reduce AI artifacts for UGC ads?

Creating negative prompts that reduce AI artifacts for UGC ads involves generating quality-safe negative prompt segments tailored to makeup and camera cues. This prevents common AI generation artifacts while maintaining the desired photography style.

What JSON input format is needed to generate ComfyUI workflow settings?

The JSON input format needed to generate ComfyUI workflow settings requires structured fields for subject, accessories, photography, and background. These fields come from an image-to-JSON stage and are parsed to build the complete workflow configuration.

Can I use this for product placement instructions in ComfyUI?

Using this for product placement instructions in ComfyUI is supported through optional ControlNet and product placement configuration generation. It outputs the necessary technical settings and deterministic prompt segments to execute the product insertion.