## 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. --- [View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)