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tenser-tensor-ComfyUI-Tense…/web/docs/TT_ClipTextEncodeSdxl.md
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TenserTensor 22c3d146bd Add post-production nodes with documentation
Implement post-production processing nodes:
- add_film_grain.py: procedural film grain effect
- apply_lut.py: LUT-based color grading
- image_enhancer.py: comprehensive image adjustments (brightness, contrast, gamma, hue, saturation, sharpness, posterize, solarize)
- postproduction.py: all-in-one pipeline (LUT + film grain + upscaling)
- postproduction_advanced.py: extended pipeline with image enhancement controls
- quick_image_upscaler.py: simple tiled AI upscaler

Add markdown documentation for all post-production nodes
2026-02-13 19:38:03 +03:00

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## TT CLIP Text Encode SDXL *TT_ClipTextEncodeSdxl*
*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
SDXL text encoder with separate CLIP-L and CLIP-G prompt inputs and conditioning parameters.
### Inputs
| Parameter | Type | Required | Description |
|-------------------|--------|----------|---------------------------------------------------------|
| `clip` | CLIP | Yes | CLIP text encoder (dual CLIP-L + CLIP-G) |
| `clip_l_positive` | STRING | Yes | CLIP-L positive prompt (multiline) |
| `clip_g_positive` | STRING | Yes | CLIP-G positive prompt (multiline) |
| `clip_l_negative` | STRING | Yes | CLIP-L negative prompt (multiline) |
| `clip_g_negative` | STRING | Yes | CLIP-G negative prompt (multiline) |
| `ascore_positive` | FLOAT | Yes | Aesthetic score for positive (0.0-1000.0, default: 9.0) |
| `ascore_negative` | FLOAT | Yes | Aesthetic score for negative (0.0-1000.0, default: 6.0) |
| `width` | INT | Yes | Image width for conditioning (default: 512) |
| `height` | INT | Yes | Image height for conditioning (default: 512) |
| `target_width` | INT | Yes | Target width for conditioning (default: 512) |
| `target_height` | INT | Yes | Target height for conditioning (default: 512) |
### Outputs
| Parameter | Type | Description |
|------------|--------------|-----------------------------------------------------------|
| `POSITIVE` | CONDITIONING | Positive conditioning with aesthetic score and dimensions |
| `NEGATIVE` | CONDITIONING | Negative conditioning with aesthetic score and dimensions |
### Usage
Encode text prompts for SDXL with separate control over CLIP-L and CLIP-G inputs, aesthetic scores, and target
dimensions. The aesthetic scores and dimensions are embedded into the conditioning to guide the generation process.
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)