Load LoRAs With Tags

Here's a scenario every LoRA user knows: you download a character LoRA, load it, type your prompt, and get nothing. No character. Because buried in that .safetensors file is a trigger word - a rare token like ch4r4ct3r name the model was trained on - and the loader never showed it to you. Load LoRAs With Tags is the LoRA loader that stops hiding that information. It reads trigger/trained words straight out of the LoRA's metadata (and any sidecar JSON files), shows them in a fuzzy-search tag picker, and outputs the tags you select alongside the patched model and clip. Up to 20 LoRAs at once.

This is the pack's flagship - the node the author announced on r/comfyui as "yet another LoRA loader with twists," built specifically because selecting LoRAs from a giant dropdown was driving them up the wall. It's a small but genuinely thoughtful fix for a real, recurring pain.

How it works

When you pick a LoRA, the node scans for its trigger words in a specific priority order:

1. Sidecar JSON files next to the LoRA - any JSON with trainedWords/trained_words, plus model_info.json (Civitai-style modelVersions, matched to your file by name) and .rgthree-info.json. Tags found here get infinite frequency and are pinned to the top of the tag list.
2. The safetensors header itself - ss_tag_frequency (preferred, since it gives real occurrence counts), then trained_words, then trigger_words.

That's the good stuff. The tag dialog then shows every tag with fuzzy filtering, sorted by how often the tag appeared in the training data - so the actual trigger word floats to the top instead of being buried. You click the tags you want; each slot's selection is stored in its tag_selection_N input; and the tags output is the merged, deduplicated, parenthesis-escaped string of all selected tags (plus whatever you feed into the optional tags input). Wire that straight into CLIP Text Encode.

It's also a proper stack: each of the 20 slots has its own LoRA name, strength slider, on/off toggle, and tag selection. Header Copy/Append actions import slots from other LoRA loader nodes, and there's a hover-zoom preview image next to each LoRA in the picker.

Inputs and outputs that matter

• model, clip - required; from a Load Checkpoint node. The patched versions come back out.
• Per slot: lora_name_N, lora_strength_N (default 1.0, range -2.0 to 2.0, configurable under Settings > craftgear > Load Loras With Tags), lora_on_N, tag_selection_N.
• tags (optional) - input tag text merged with the selected LoRA tags in the output.
• loras_json (optional) - a JSON list of LoRA names. Wire the loras json output from this pack's A1111 Metadata Reader here and it loads those LoRAs at strength 1.0, taking priority over the slots.

Outputs: model, clip, and tags.

Install

Search craftgear in ComfyUI Manager and install a numbered version (the README notes nightly fails on security restrictions), or:

cd ComfyUI/custom_nodes
git clone https://github.com/craftgear/comfyui-craftgear-nodes

Restart ComfyUI. No model downloads, no extra pip dependencies.

Where people get burned

• No tags shown? The LoRA has no tags to show. Not every LoRA is trained with ss_tag_frequency, trained_words, or a sidecar JSON. If the picker comes up empty, the file genuinely carries no readable trigger data - nothing is broken, you just have to find the trigger the old way.
• Trigger words aren't prompt sentences. The tags it extracts are often awkward tokens or heavy with frequency noise. Select a few, don't dump all 200.
• loras_json overrides the slots. If you've wired in a reader's JSON and slots aren't being applied, that's expected behavior - the JSON path wins. Unplug it to use the click-and-edit workflow.