WarpPipe Nodes
WarpPipe - A data bundling and transfer system for ComfyUI workflows
Nodes (7)
Dead End for workflow debugging
The tiny adapter that stops FaceDetailer from choking on your scheduler
Your Civitai uploads lose the model credit — this save node fixes it
Unwarp hands your data back
The Warp node that tames a tangled workflow
> tags you type in your prompt finally load — no second node needed
One node that sets every knob and hands you a blank canvas

WarpPipe
ComfyUI nodes that bundle a whole generation into one wire, and a prompt box that keeps a prompt and its LoRAs in the same place.
- Warp / Unwarp — everything a sampler needs travels as a single link. Switching between whole model setups is one wire moved instead of twenty.
- Prompt + LoRAs — write
a portrait <lora:detail tweaker:0.8>and have it mean it. The tags are the loader; the prompt is still a prompt. - Save Image (Civitai) — writes metadata Civitai reads, so an upload credits the checkpoint and the LoRAs that actually made the picture.
They work apart as well as together.
Install
comfy node install warppipe
Or clone into ComfyUI/custom_nodes and restart. Python 3.9+, no third-party
dependencies.
The prompt box

Colour says what will happen before you run anything: cyan resolves, red matches
nothing, orange is built for another base model, green is a trigger word, grey
is a // note that never reaches the model. The line underneath describes
whichever tag the caret is in.
Press / to complete against your library inline, Tab to take it, Tab again
on a tag for that LoRA's trigger words. Weight, ordering and switching a LoRA off
are ordinary text edits, so undo covers all of them.
→ Writing a prompt · the browser · all the keys
One wire

Everything on the left goes into a Warp. One link crosses the canvas. An Unwarp gives it all back. Warps chain, so a second one downstream carries everything the first did and adds to it.
Works with Civitai Updater
WarpPipe reads the .civitai.info sidecars that
Civitai Updater
writes: trigger words, base models, titles, Civitai links and the AutoV2 hash
Civitai matches on. Only the hash has a fallback — the rest simply are not there
without a sidecar, and the features built on them go quiet.
The nodes
| Node | | | --- | --- | | 🌀 Warp | Bundles models, conditioning, images, latents, prompts and parameters into one link | | 🌀 Unwarp | Unpacks it into twenty-two outputs | | 🌀 Warp Provider | Latent and parameters together, with 30+ resolution presets | | 🌀 Prompt + LoRAs | The prompt box above | | 🌀 Save Image (Civitai) | Saves with metadata Civitai reads | | 🌀 Scheduler Adapter for FaceDetailer | Maps KSampler schedulers onto FaceDetailer's set | | 🚫 Dead End | Accepts any type, produces nothing. Parks a branch without deleting it |
Every node carries its own help inside ComfyUI, behind the ? on the node.
Example workflow
Two model configurations — Krea 2 and Z-Image Turbo — each with its own Warp, switched into one shared workflow:
<p align="center"> <img src="examples/workflow_example_screenshot.png" alt="The example workflow: two model groups feeding one shared pipeline" width="820"> </p>It produced this, and carries the workflow inside it — drag the image into ComfyUI to open it:
<p align="center"> <img src="examples/workflow_example.png" alt="A pixel-art warp pipe, generated by the example workflow" width="300"> </p>Save Image (Civitai) wrote this alongside it, which is what a site reads:
Steps: 8, Sampler: euler, Schedule type: simple, CFG scale: 1.0, Seed: 44,
Size: 1024x1536, Model hash: 8e4eeda70d, Model: krea2_turbo_int8_convrot,
Hashes: {"model":"8e4eeda70d"}, Version: ComfyUI-WarpPipe
Or download the workflow JSON.
Documentation
Everything else is in WIKI.md: getting started · usage · node reference · HTTP API · architecture · development · troubleshooting
Credits
UI screenshots are taken from a real ComfyUI against a small demo LoRA folder; those names are illustrative and that preview art is generated stand-in, not any creator's work.
Developed with AI assistance (Claude Opus 5).
Licensed under the MIT License.