Ino Load Clip Model

Stock ComfyUI loads CLIP from a dropdown of the files already in your models/clip folder. That's fine until the filename is a variable - when a model got downloaded to a dynamic path, when you're iterating over several checkpoints, when you're automating. Ino Load Clip Model is the file-path version: you pass a model_path string and get a CLIP tensor you can feed straight into CLIP Text Encode.

It's part of ComfyUI Ino Nodes (nobandegani/ComfyUI-InoNodes), the 125+-node V3-schema pack, and sits in its InoModelHelper category - the pack's set of model loaders that all take a path string and return success / message plus the loaded object.

How it works

Under the hood it's not doing anything exotic - it calls ComfyUI's own CLIPLoader with the path you give it. What matters is where the path comes from. In this pack's world, model paths typically arrive as strings from a download node or a config: the pack has a whole model-download subsystem (HTTP, S3, HuggingFace, Civitai) that fetches a file to models/ and hands back its path, and Ino Load Clip Model is the other half of that story - download then load, driven entirely by string data.

Inputs:

• enabled - every node in the pack has this toggle; off means "skip, return success: False".
• model_path - the path to the CLIP file.
• clip_type - an optional dropdown for the CLIP flavor (defaults to stable_diffusion; pick the variant matching your model, e.g. the SDXL or Flux-compatible type).

Outputs: success (boolean), message (string - useful when load fails), and clip (CLIP). Wire clip into CLIP Text Encode and you're set.

Why not just use the stock node?

If your CLIP file is a constant you picked once, use the stock loader and move on. This node earns its place in three situations: the path is computed at runtime (a download just happened), you're looping over multiple CLIPs, or you want the workflow to fail loudly and gracefully (success: False + message) instead of silently using a wrong file. That explicit error signaling is the pack's house style.

Common issues

• Wrong clip_type for the architecture. Loading an SDXL-style CLIP with the wrong type setting gives you a model that encodes garbage or fails. Match the type to the model family.
• Path must exist. A bad path returns success: False with a message rather than crashing the run - check the success output in automation.
• enabled off looks like failure. If the node is toggled off it returns success: False, message: "not enabled", which is a signal, not an error.

Installing it

ComfyUI Ino Nodes installs like any custom node pack:

• ComfyUI Manager (easiest): search for "ComfyUI Ino Nodes", install, restart.
• Manual:

  cd ComfyUI/custom_nodes
  git clone https://github.com/nobandegani/ComfyUI-InoNodes.git
  cd ComfyUI-InoNodes
  pip install -r requirements.txt

  Then restart ComfyUI.

The pack needs inopyutils and a current ComfyUI (all V3 schema). It's a niche pack with essentially no Reddit footprint, so expect to rely on the README - but for path-driven CLIP loading, this is the piece that makes dynamic model workflows hold together.