2.4 KiB
2.4 KiB
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.