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## TT FLUX Models Loader *TT_FluxModelsLoaderNode*
*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
Loads all components of the FLUX pipeline (diffusion model, text encoders, and VAE) in a single node.
### Inputs
| Parameter | Type | Required | Description |
|-------------------|-------|----------|------------------------------------------------|
| `diffusion_model` | COMBO | Yes | FLUX diffusion model checkpoint file |
| `clip_l` | COMBO | Yes | CLIP-L text encoder file |
| `t5xxl` | COMBO | Yes | T5-XXL text encoder file |
| `clip_device` | COMBO | Yes | Device for CLIP inference (default: "default") |
| `vae_name` | COMBO | Yes | VAE model file for image encoding/decoding |
### Outputs
| Parameter | Type | Description |
|-----------|-------|-----------------------------|
| `MODEL` | MODEL | Loaded FLUX diffusion model |
| `CLIP` | CLIP | Loaded CLIP+T5 text encoder |
| `VAE` | VAE | Loaded VAE |
### Usage
Convenience node for loading the complete FLUX pipeline in one step. Select the diffusion model,
both text encoders (CLIP-L and T5-XXL), and VAE from their respective dropdowns. Use `clip_device`
to offload text encoders to a specific device if needed. LoRA loading is not applied at this stage.
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)