31 lines
1.6 KiB
Markdown
31 lines
1.6 KiB
Markdown
## TT SDXL CLIP Text Encoder (Context) *TT_SdxlClipTextEncoderContextNode*
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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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Context-based variant of the SDXL CLIP text encoder. Reads all required parameters from a Context object and writes the resulting conditioning back
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into it.
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### Inputs
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| Parameter | Type | Required | Description |
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|-----------|------------|----------|------------------------------------------------------------------------------------|
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| `context` | TT_CONTEXT | Yes | Context object carrying CLIP, prompts, aesthetic scores, and resolution parameters |
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### Outputs
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| Parameter | Type | Description |
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|------------|--------------|-----------------------------------------------------------------------|
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| `CONTEXT` | TT_CONTEXT | Updated Context with positive and negative conditioning stored inside |
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| `POSITIVE` | CONDITIONING | Positive conditioning |
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| `NEGATIVE` | CONDITIONING | Negative conditioning |
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### Usage
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Drop-in replacement for [TT SDXL CLIP Text Encoder](TT_SdxlClipTextEncoderNode.md) in Context-based workflows. The Context must have `clip`,
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`clip_l_positive`, `clip_g_positive`, `clip_l_negative`, `clip_g_negative`, `ascore_positive`, `ascore_negative`, `width`, `height`, `target_width`,
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and `target_height` set before reaching this node.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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