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
35 lines
1.9 KiB
Markdown
35 lines
1.9 KiB
Markdown
## TT SDXL Models Loader *TT_SdxlModelsLoader*
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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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All-in-one model loader for SDXL workflows with checkpoint merging support.
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### Inputs
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| Parameter | Type | Required | Description |
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|------------------|--------------|----------|----------------------------------------------------------------|
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| `primary_ckpt` | CHECKPOINT | Yes | Primary SDXL checkpoint to load |
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| `secondary_ckpt` | CHECKPOINT | Yes | Secondary checkpoint to merge (select "None" to skip) |
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| `primary_weight` | FLOAT | Yes | Weight for primary checkpoint in merge (0.0-1.0, default: 1.0) |
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| `clip_l` | TEXT_ENCODER | Yes | CLIP-L text encoder model |
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| `clip_g` | TEXT_ENCODER | Yes | CLIP-G text encoder model |
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| `clip_device` | STRING | Yes | Device for CLIP ("default" or "cpu") - advanced |
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| `vae_name` | VAE | Yes | VAE model to load |
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### Outputs
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| Parameter | Type | Description |
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|-----------|-------|-------------------------------------------|
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| `MODEL` | MODEL | Loaded (and optionally merged) SDXL model |
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| `CLIP` | CLIP | Combined CLIP-L and CLIP-G text encoders |
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| `VAE` | VAE | Loaded VAE |
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### Usage
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Use this node to load all SDXL model components in one place. Optionally merge two checkpoints by selecting a secondary
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checkpoint and adjusting the primary_weight (1.0 = 100% primary, 0.5 = 50/50 mix, 0.0 = 100% secondary).
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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