Nodes/comfyui-sdnq-splited/SDNQ LoRA Loader
ComfyUI Node

SDNQ LoRA Loader

Ten LoRA slots for a pipeline that barely fits on the card

By ussoewwin·Created 9 months ago·Updated 9 months ago· 3
SDNQ LoRA Loader
  • model
  • model
lora_name_1
lora_wt_11.000
lora_name_2
lora_wt_21.000
lora_name_3
lora_wt_31.000
lora_name_4
lora_wt_41.000
lora_name_5
lora_wt_51.000
lora_name_6
lora_wt_61.000
lora_name_7
lora_wt_71.000
lora_name_8
lora_wt_81.000
lora_name_9
lora_wt_91.000
lora_name_10
lora_wt_101.000

Every modular workflow needs a LoRA step, and this is the one for the comfyui-sdnq-splited pack. The difference from ComfyUI's stock LoraLoader is structural: the stock node patches a ModelPatcher, while this one works on a diffusers DiffusionPipeline - because that's what SDNQ Model Loader hands you. Same job, different plumbing underneath. It applies LoRAs using diffusers' standard API (load_lora_weights + set_adapters), which is exactly what the quantized SDNQ model expects.

Where this node stands out is the 10 LoRA slots. You get lora_name_1 through lora_name_10, each with a matching lora_wt_1 through lora_wt_10 strength (default 1.0 = full strength). Ten is more than anyone genuinely uses in one pass - the UI hides unused slots via JS, so don't feel obligated to fill them - but it's handy for stacking a style LoRA with a character LoRA and a detail one without daisy-chaining loader nodes. Leave unused slots on None.

The inputs that matter

  • model - the MODEL output from SDNQ Model Loader. This is the only required input.
  • lora_name_1..10 - a dropdown populated from your ComfyUI loras folder (via the same folder scan the stock loader uses). Select a file by name.
  • lora_wt_1..10 - strength per slot. 1.0 is full effect; values above exaggerate, negatives invert (useful for suppressing a baked-in style). The README documents the range as −5.0 to +5.0.

Output is model again, wired into the sampler of your choice.

One context worth knowing: LoRAs for FLUX.2 specifically are rare, because training them needs a serious GPU - the KB notes people cite needing something like an RTX 6000 PRO and many hours, which is why the Flux2 LoRA ecosystem stayed thin. For the other SDNQ-catalog models (FLUX.1, SDXL-class, Qwen-Image) the usual LoRA wealth applies. Don't expect a big library of Flux2 LoRAs to appear in that dropdown.

Install

Standard for this pack:

cd ComfyUI/custom_nodes/
git clone https://github.com/ussoewwin/comfyui-sdnq-splited.git
cd comfyui-sdnq-splited
pip install -r requirements.txt

Restart ComfyUI and it shows up under loaders/SDNQ. Manager install is fine but you may need to lower the Security Level (or use "Install via Git URL") to get past the default-channel restriction.

Gotchas

The tooltip on strength calls 1.0 "full strength," but diffusers adapters can interact when stacked - if two LoRAs fight each other, drop the weaker one's weight rather than the stronger. And a real edge case from the source: if the node can't reach your loras folder (a broken ComfyUI import), it silently degrades to just None in the dropdown - if the dropdown is empty, that's a ComfyUI environment problem, not a LoRA-format problem. Finally, remember the README's standing caveat applies here too: this pack is tested on FLUX.2, so LoRA behavior on other catalog models is best-effort.

Categoryloaders/SDNQ

Inputs (21)

NameTypeDefaultDescription
modelMODELSDNQ model pipeline from SDNQ Model Loader node
lora_name_1optCOMBOLoRA 1 filename
lora_wt_1optFLOAT1.000LoRA 1 Strength
lora_name_2optCOMBOLoRA 2 filename
lora_wt_2optFLOAT1.000LoRA 2 Strength
lora_name_3optCOMBOLoRA 3 filename
lora_wt_3optFLOAT1.000LoRA 3 Strength
lora_name_4optCOMBOLoRA 4 filename
lora_wt_4optFLOAT1.000LoRA 4 Strength
lora_name_5optCOMBOLoRA 5 filename
lora_wt_5optFLOAT1.000LoRA 5 Strength
lora_name_6optCOMBOLoRA 6 filename
lora_wt_6optFLOAT1.000LoRA 6 Strength
lora_name_7optCOMBOLoRA 7 filename
lora_wt_7optFLOAT1.000LoRA 7 Strength
lora_name_8optCOMBOLoRA 8 filename
lora_wt_8optFLOAT1.000LoRA 8 Strength
lora_name_9optCOMBOLoRA 9 filename
lora_wt_9optFLOAT1.000LoRA 9 Strength
lora_name_10optCOMBOLoRA 10 filename
lora_wt_10optFLOAT1.000LoRA 10 Strength

Outputs (1)

NameTypeDescription
modelMODEL