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## TT SD3.5 GGUF Models Loader (Advanced) *TT_Sd35GgufModelsLoaderAdvancedNode*
*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
Extended GGUF loader for SD3.5 with built-in LoRA support and fine-grained quantization and VAE configuration.
### Inputs
| Parameter | Type | Required | Description |
|-------------------|-------|----------|---------------------------------------------------------|
| `diffusion_model` | COMBO | Yes | GGUF diffusion model file |
| `dequant_dtype` | COMBO | No | Dequantization dtype, default `bfloat16` (advanced) |
| `patch_dtype` | COMBO | No | Patch dtype, default `bfloat16` (advanced) |
| `clip_l` | COMBO | Yes | CLIP-L text encoder file |
| `clip_g` | COMBO | Yes | CLIP-G text encoder file |
| `t5xxl` | COMBO | Yes | T5-XXL text encoder file |
| `clip_device` | COMBO | No | Device for CLIP inference, default `default` (advanced) |
| `lora_name_1-4` | COMBO | No | LoRA files, up to four |
| `strength_1-4` | FLOAT | No | LoRA strength, default 1.0, range -10.0 to 10.0 |
| `vae_name` | COMBO | Yes | VAE file |
| `vae_device` | COMBO | No | Device for VAE inference, default `default` (advanced) |
| `vae_dtype` | COMBO | No | VAE data type (advanced) |
### Outputs
| Parameter | Type | Description |
|-----------|-------|------------------------|
| `MODEL` | MODEL | Loaded diffusion model |
| `CLIP` | CLIP | Loaded CLIP encoders |
| `VAE` | VAE | Loaded VAE |
### Usage
Place GGUF diffusion model files in `models/diffusion_models_gguf` or `models/diffusion_models`. Place text encoder files in
`models/text_encoders_gguf`, `models/text_encoders` or `models/clip`. Unused LoRA slots are ignored. Negative LoRA strength values invert the effect.
Adjust `dequant_dtype` and `patch_dtype` if you experience quality or memory issues with the default `bfloat16`.
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