TenserTensor
c27d647acd
Implement context management system: - base_context.py: foundational context node - context.py: standard context handling - context_passthrough.py: pass-through node - even_larger_context.py: maximum context capacity - large_context_flux.py: Flux-specific large context - large_context_sdxl.py: SDXL-specific large context Add markdown documentation for all context 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.