ls-comfy-to-liteimage

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.

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.

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.

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.

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.

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.