TenserTensor
22c3d146bd
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
36 lines
1.6 KiB
Markdown
36 lines
1.6 KiB
Markdown
## TT CLIP Text Encode SDXL (Context) *TT_ClipTextEncodeSdxlContext*
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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 SDXL text encoder that extracts prompts and parameters from workflow config.
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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 containing CLIP encoder and workflow config with prompts and 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/negative conditioning added |
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| `POSITIVE` | CONDITIONING | Positive conditioning with aesthetic score and dimensions |
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| `NEGATIVE` | CONDITIONING | Negative conditioning with aesthetic score and dimensions |
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### Usage
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Simplified encoder for context-based SDXL workflows. Automatically extracts all encoding parameters from
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workflow_config:
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- `clip_l_positive`, `clip_g_positive` for positive prompts
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- `clip_l_negative`, `clip_g_negative` for negative prompts
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- `ascore_positive`, `ascore_negative` for aesthetic scores
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- `width`, `height`, `target_width`, `target_height` for dimensions
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Updates context with the generated conditioning and also returns them separately for convenient access.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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