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
31 lines
1.4 KiB
Markdown
31 lines
1.4 KiB
Markdown
## TT Apply LUT *TT_ApplyLut*
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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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Apply color grading LUT (Look-Up Table) to images for professional color correction.
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### Inputs
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| Parameter | Type | Required | Description |
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|--------------|----------|----------|----------------------------------------------------------------|
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| `image` | IMAGE | Yes | Input image to apply LUT to |
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| `lut_file` | LUT_FILE | Yes | LUT file to apply (from LUT directory) - advanced |
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| `strength` | FLOAT | Yes | Blend strength of LUT effect (0.0-1.0, default: 1.0) |
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| `colorspace` | STRING | Yes | Colorspace for LUT application (linear/logarithmic) - advanced |
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### Outputs
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| Parameter | Type | Description |
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|-----------|-------|--------------------------------------|
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| `IMAGE` | IMAGE | Image with applied LUT color grading |
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### Usage
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Apply professional color grading using LUT files. Place your .cube LUT files in the designated LUT directory. Adjust
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strength to blend between original and graded image (1.0 = full LUT, 0.0 = original). Choose colorspace based on your
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LUT file's intended working space.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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