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
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
## TT Base Context *TT_BaseContext*
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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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Creates a foundational context object by combining essential workflow components.
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### Inputs
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| Parameter | Type | Required | Description |
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|-------------------|--------------------|----------|---------------------------------|
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| `model` | MODEL | Yes | The diffusion model (UNet/DiT) |
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| `clip` | CLIP | Yes | CLIP text encoder |
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| `vae` | VAE | Yes | VAE for encoding/decoding |
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| `latent` | LATENT | Yes | Latent image tensor |
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| `workflow_config` | TT_WORKFLOW_CONFIG | No | Workflow configuration settings |
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### Outputs
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| Parameter | Type | Description |
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|-----------|------------|--------------------------------------------|
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| `CONTEXT` | TT_CONTEXT | Dictionary containing all input components |
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### Usage
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Use this node to package your core workflow components into a single context object that can be passed through your
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workflow and modified by other context nodes.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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