31 lines
1.2 KiB
Markdown
31 lines
1.2 KiB
Markdown
## TT FLUX2 GGUF Models Loader *TT_GgufModelsLoader*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Load GGUF-quantized diffusion model (UNet), CLIP text encoder, and VAE in a single node.
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### Inputs
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| Parameter | Type | Required | Description |
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|-------------|--------|----------|------------------------------------|
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| `unet_name` | STRING | Yes | GGUF UNet/diffusion model filename |
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| `clip_name` | STRING | Yes | GGUF CLIP text encoder filename |
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| `vae_name` | STRING | Yes | VAE model filename |
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### Outputs
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| Parameter | Type | Description |
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|-----------|-------|------------------------|
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| `MODEL` | MODEL | Loaded diffusion model |
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| `CLIP` | CLIP | Loaded text encoder |
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| `VAE` | VAE | Loaded VAE decoder |
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### Usage
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All-in-one loader for GGUF-quantized FLUX2 models. Place your `.gguf` diffusion model files in the `diffusion_models` or `unet` directory, CLIP files in
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`text_encoders` or `clip` directory. VAE can be any standard ComfyUI-compatible VAE file.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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