32 lines
1.4 KiB
Markdown
32 lines
1.4 KiB
Markdown
## 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.
|
|
|
|
---
|
|
|
|
[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
|