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tenser-tensor-ComfyUI-Tense…/web/docs/TT_Flux2GgufModelsLoaderNode.md

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TT FLUX2 GGUF Models Loader TT_Flux2GgufModelsLoaderNode

This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.

Loads a complete GGUF-quantized pipeline (diffusion model, text encoder, and VAE) in a single node.

Inputs

Parameter Type Required Description
diffusion_model COMBO Yes GGUF-quantized diffusion model file
clip COMBO Yes GGUF-quantized text encoder file
vae_name COMBO Yes VAE model file for image encoding/decoding

Outputs

Parameter Type Description
MODEL MODEL Loaded GGUF diffusion model
CLIP CLIP Loaded GGUF text encoder
VAE VAE Loaded VAE

Usage

Convenience node for loading a GGUF-quantized pipeline in one step. Designed for use with quantized model files that reduce VRAM requirements. Select the GGUF diffusion model, GGUF text encoder, and VAE from their respective dropdowns. LoRA loading is supported at this stage; bypass LoRA is not applied.


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