`CLIPTextEncodeFlux` is an advanced text encoding node designed for the Flux architecture. It processes two separate text inputs through different encoders—CLIP-L and T5XXL—and combines them with a guidance scale to produce a unified conditioning output for image generation.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `clip` | A CLIP model that supports the Flux architecture, including both CLIP-L and T5XXL encoders. | CLIP | Yes | - |
| `clip_l` | Text input processed by the CLIP-L encoder. Suitable for concise keyword descriptions, such as style or theme. Supports multiline input and dynamic prompts. | STRING | Yes | - |
| `t5xxl` | Text input processed by the T5XXL encoder. Suitable for detailed natural language descriptions, expressing complex scenes and details. Supports multiline input and dynamic prompts. | STRING | Yes | - |
| `guidance` | Controls the influence of text conditions on the generation process. Higher values mean stricter adherence to the text. Default: 3.5. | FLOAT | Yes | 0.0 - 100.0 |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `CONDITIONING` | Contains the fused embeddings from both encoders and the guidance parameter, used for conditional image generation. | CONDITIONING |

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