ls-comfy-to-liteimage

Translate ComfyUI workflow JSON node graphs into LiteImage REST API call sequences.

Updated Aug 5, 2026

Search Tags:#image generation #rest api #video generation #comfyui #workflow translation #controlnet #loras

Ready to run

npx skills add https://github.com/ahostbr/liteharness --skill ls-comfy-to-liteimage

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ls-comfy-to-liteimage
Source: https://github.com/ahostbr/liteharness/tree/main/liteharness/catalog/skills/ls-comfy-to-liteimage
Command: npx skills add https://github.com/ahostbr/liteharness --skill ls-comfy-to-liteimage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It removes the manual effort of re-creating a ComfyUI node-graph workflow by translating the workflow JSON into equivalent LiteImage REST API calls.

Core Features & Use Cases

ComfyUI node-graph to API sequence translation: Converts exported ComfyUI “workflow JSON (API format)” into a runnable set of LiteImage curl calls by mapping node types to LiteImage endpoints.
End-to-end workflow coverage: Supports txt2img, img2img, inpainting, ControlNet, upscaling, video generation (Wan 2.1/LTX), face swap, and multi-step pipelines with batch/pipeline composition.
Parameter mapping and prompt/LoRA adaptation: Extracts model/LoRA/prompt/negative/steps/CFG/seed/sampler/scheduler/denoise and rewrites LoRA usage into LiteImage prompt tags like <lora:name:weight>.

Quick Start

Paste or upload a ComfyUI workflow JSON (API export) and ask the assistant to translate it into LiteImage curl commands.

Frequently Asked Questions about ls-comfy-to-liteimage

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

FAQPage Schema

How do I convert a ComfyUI workflow to a REST API?▼

To convert a ComfyUI workflow to a REST API, translate the exported ComfyUI workflow JSON node graph into an ordered set of LiteImage REST API calls. This maps node types, models, prompts, and sampler parameters into executable request sequences.

Can I map ComfyUI ControlNet and LoRA nodes to API parameters?▼

Yes, you can map ComfyUI ControlNet and LoRA nodes to API parameters. The translation parses node connections and rewrites LoRA usage into LiteImage prompt tags like <lora:name:weight> alongside extracting sampler, scheduler, and strength configurations.

What ComfyUI workflows can be translated into LiteImage API calls?▼

ComfyUI workflows that can be translated into LiteImage API calls include txt2img, img2img, inpainting, ControlNet, upscaling, face swap, and video generation. It handles multi-step pipelines by mapping node types to corresponding endpoints.

Does LiteImage API translation support Wan 2.1 and LTX video generation?▼

Yes, LiteImage API translation supports Wan 2.1 and LTX video generation workflows. The conversion process parses the ComfyUI video node graphs and outputs the equivalent REST API request sequences for local or endpoint execution.

What happens to unmapped nodes during ComfyUI workflow translation?▼

Unmapped nodes during ComfyUI workflow translation receive clear handling in the output API request sequence. The parser maps standard node types and explicitly identifies any unsupported nodes so you can manually adjust the generated curl commands.

What is the best way to run ComfyUI multi-step pipelines without the interface?▼

The best way to run ComfyUI multi-step pipelines without the interface is translating the exported workflow JSON into LiteImage REST API curl calls. This generates a ready-to-run ordered set of requests for batch processing and endpoint execution.