Files
tenser-tensor-ComfyUI-Tense…/web/docs/TT_SdxlModelsLoader.md
T
TenserTensor 3a0b6bd856 Add SDXL model loaders with documentation
Implement SDXL loading nodes:
- sdxl_models_loader.py: basic all-in-one loader with checkpoint merging
- sdxl_models_loader_advanced.py: extended loader with 4 LoRA slots and advanced VAE/CLIP settings

Add markdown documentation for both nodes
2026-02-13 16:32:12 +03:00

1.7 KiB

TT_SdxlModelsLoader

All-in-one model loader for SDXL workflows with checkpoint merging support.

Inputs

Parameter Type Required Description
primary_ckpt CHECKPOINT Yes Primary SDXL checkpoint to load
secondary_ckpt CHECKPOINT Yes Secondary checkpoint to merge (select "None" to skip)
primary_weight FLOAT Yes Weight for primary checkpoint in merge (0.0-1.0, default: 1.0)
clip_l TEXT_ENCODER Yes CLIP-L text encoder model
clip_g TEXT_ENCODER Yes CLIP-G text encoder model
clip_device STRING Yes Device for CLIP ("default" or "cpu") - advanced
vae_name VAE Yes VAE model to load

Outputs

Parameter Type Description
MODEL MODEL Loaded (and optionally merged) SDXL model
CLIP CLIP Combined CLIP-L and CLIP-G text encoders
VAE VAE Loaded VAE

Usage

Use this node to load all SDXL model components in one place. Optionally merge two checkpoints by selecting a secondary checkpoint and adjusting the primary_weight (1.0 = 100% primary, 0.5 = 50/50 mix, 0.0 = 100% secondary).


View on GitHub