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
1.3 KiB
1.3 KiB
TT Base Context TT_BaseContext
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Creates a foundational context object by combining essential workflow components.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
model |
MODEL | Yes | The diffusion model (UNet/DiT) |
clip |
CLIP | Yes | CLIP text encoder |
vae |
VAE | Yes | VAE for encoding/decoding |
latent |
LATENT | Yes | Latent image tensor |
workflow_config |
TT_WORKFLOW_CONFIG | No | Workflow configuration settings |
Outputs
| Parameter | Type | Description |
|---|---|---|
CONTEXT |
TT_CONTEXT | Dictionary containing all input components |
Usage
Use this node to package your core workflow components into a single context object that can be passed through your workflow and modified by other context nodes.