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## TT FLUX1 CLIP Text Encoder *TT_Flux1ClipTextEncoderNode*
*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
Encodes positive and negative text prompts for FLUX1 models using dual text encoders (CLIP-L and T5-XXL) with guidance scale conditioning.
### Inputs
| Parameter | Type | Required | Description |
|-------------------|--------|----------|-------------------------------------------|
| `clip` | CLIP | Yes | Dual text encoder model (CLIP-L + T5-XXL) |
| `clip_l_positive` | STRING | Yes | CLIP-L positive prompt |
| `t5xxl_positive` | STRING | Yes | T5-XXL positive prompt |
| `clip_l_negative` | STRING | Yes | CLIP-L negative prompt |
| `t5xxl_negative` | STRING | Yes | T5-XXL negative prompt |
| `guidance` | FLOAT | Yes | Guidance scale, default 9.0 |
### Outputs
| Parameter | Type | Description |
|------------|--------------|-----------------------|
| `POSITIVE` | CONDITIONING | Positive conditioning |
| `NEGATIVE` | CONDITIONING | Negative conditioning |
### Usage
Connect `POSITIVE` and `NEGATIVE` outputs to a sampler. CLIP-L handles short, structured descriptions; T5-XXL understands longer, more complex
prompts — you can use the same text in both or tailor each separately.
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)