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TT FLUX2 GGUF Models Loader (Advanced) TT_GgufModelsLoaderAdvanced

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

All-in-one loader for GGUF-quantized models with extended control over quantization, sampling, and LoRA support.

Inputs

Parameter Type Required Advanced Description
unet_name STRING Yes GGUF UNet/diffusion model filename
dequant_dtype STRING Yes Yes Data type for dequantization (default/target/float32/float16/bfloat16)
patch_dtype STRING Yes Yes Data type for weight patching
apply_sampling BOOLEAN Yes Enable/disable flux sampling shift patch
base_sampling_shift FLOAT Yes Yes Base shift value for flux sampling (default: 0.5)
max_sampling_shift FLOAT Yes Yes Maximum shift value for flux sampling (default: 1.15)
sampling_width INT Yes Yes Reference width for sampling shift calculation
sampling_height INT Yes Yes Reference height for sampling shift calculation
lora_name_1..4 STRING Yes Yes LoRA filename (None to skip)
strength_1..4 FLOAT Yes Yes LoRA blend strength (-10.0 to 10.0, default: 1.0)
clip_name STRING Yes GGUF CLIP text encoder filename
vae_name STRING Yes VAE model filename
vae_device STRING Yes Yes Device for VAE (default/cpu)
vae_dtype STRING Yes Yes Data type for VAE (bfloat16/float16/float32)

Outputs

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

Usage

Extended version of FLUX2 GGUF Models Loader. Supports up to 4 LoRAs loaded simultaneously. Enable apply_sampling to apply flux sampling shift patch — useful for improving quality at non-standard resolutions. Advanced parameters are hidden by default and can be revealed via the node's show/hide controls.


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