ComfyUI-Tenaciousload

ComfyUI-Tenaciousload

Self-contained fix for slow / black-screen ComfyUI loading when you have a huge model/LoRA collection (especially on a network mount). Just install the pack and restart ComfyUI — no nginx, no docker, no extra port.

The problem

ComfyUI's /api/object_info enumerates every node's inputs. With thousands of LoRAs (worse on a network mount) it becomes tens of MB and takes minutes to build on every page load — and the build freezes ComfyUI's whole event loop, so you get a long black screen, worst over a remote network.

How this pack fixes it

How it works: requests are served straight from an in-process cache; the slow build only runs on a miss or refresh

On load it injects an aiohttp middleware into ComfyUI that intercepts /object_info and /api/object_info and:

  • caches the built response in memory and on disk (./cache/), so it is built once instead of on every load — and the disk copy makes restarts instant (no rebuild);
  • serves it gzipped (≈85% smaller transfer, independent of any CLI flag), straight from cache without running the build;
  • because the build never runs on a normal load, the event-loop freeze (and the long black screen) is gone — page loads drop from minutes to seconds.

The only time a build runs is the first load after install, or when you explicitly refresh (below).

Refreshing after you add / remove models or LoRAs

The cache holds the old model lists until you refresh, so new files won't appear until you do one of:

  • Menu: Extensions ▸ 🔄 Refresh Models / LoRAs (also in the command palette).
  • Graph node: 🔄 Refresh Models/LoRAs (Tenaciousload) (for automated workflows).
  • HTTP: POST /tenaciousload/refresh, then GET /object_info?nocache=1.

A refresh re-walks your model folders (slow over a network mount, ~minutes) — the button shows a "refreshing…" toast meanwhile. Normal loads stay instant.

Requirements

None to install. Only ComfyUI itself (tested on 0.23.0) and Python ≥ 3.8. Everything used is Python stdlib or already bundled with ComfyUI (aiohttp, folder_paths, server). The web button needs no npm packages.

Install

Clone (or copy) this repo into your ComfyUI custom_nodes/ folder and restart ComfyUI:

cd ComfyUI/custom_nodes
git clone https://github.com/ethanfel/ComfyUI-Tenaciousload.git
# then restart ComfyUI

Nothing to pip install. ComfyUI-Manager can also install it from the registry.

Verify it's working

After restart, load the page once (first time builds + caches), then:

curl -s -H 'Accept-Encoding: gzip' -o /dev/null \
  -w '%{time_total}s | %{size_download} bytes | %header{x-tenaciousload-cache} | %header{content-encoding}\n' \
  http://127.0.0.1:8188/api/object_info   # use your ComfyUI port
# expect after the first load: ~0.00Xs | ~10 MB | HIT | gzip

ComfyUI's startup log should show Tenaciousload: object_info cache middleware installed.

This pack already gzips the cached object_info on its own. To also gzip everything else ComfyUI serves — most importantly the hundreds of frontend extension scripts, plus the other API responses — launch ComfyUI with its built-in compression flag:

python main.py --listen --port 8188 --enable-compress-response-body
  • It's a stock ComfyUI option (defined in comfy/cli_args.py), not part of this pack, and it's optional — Tenaciousload works fine without it.
  • It's strongly recommended for remote access: those extension scripts are many small requests that compress very well, so the flag noticeably cuts the total transfer on top of the object_info cache.
  • It costs a little CPU per response to compress; on a fast machine this is negligible compared to the bytes saved over the network.

Notes

  • The disk cache lives in ./cache/ (git-ignored). Delete it, or use the refresh button, to force a rebuild.
  • An nginx reverse proxy can cache object_info at the HTTP layer too, but this pack does it in-process so no extra service, container, or port is needed.

License

MIT — see LICENSE.

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