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
3.3 KiB
3.3 KiB
TT Context (TT_Context)
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Standard context node that can create a new context or modify an existing one.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
| context | TT_CONTEXT | No | Existing context to modify (if not provided, creates new) |
| workflow_config | TT_WORKFLOW_CONFIG | No | Workflow configuration settings |
| model | MODEL | No | The diffusion model (UNet/DiT) |
| clip | CLIP | No | CLIP text encoder |
| vae | VAE | No | VAE for encoding/decoding |
| positive | CONDITIONING | No | Positive conditioning |
| negative | CONDITIONING | No | Negative conditioning |
| latent | LATENT | No | Latent image tensor |
| image | IMAGE | No | Image tensor |
| seed | INT | No | Random seed |
| steps | INT | No | Sampling steps |
| cfg | FLOAT | No | Classifier-free guidance scale |
| sampler_name | COMBO | No | Sampler name |
| scheduler | COMBO | No | Scheduler name |
Outputs
| Parameter | Type | Description |
|---|---|---|
| CONTEXT | TT_CONTEXT | Created or modified context |
| WORKFLOW_CONFIG | TT_WORKFLOW_CONFIG | Workflow configuration |
| MODEL | MODEL | Diffusion model |
| CLIP | CLIP | Text encoder |
| VAE | VAE | VAE |
| POSITIVE | CONDITIONING | Positive conditioning |
| NEGATIVE | CONDITIONING | Negative conditioning |
| LATENT | LATENT | Latent tensor |
| IMAGE | IMAGE | Image tensor |
| SEED | INT | Random seed |
| STEPS | INT | Sampling steps |
| CFG | FLOAT | CFG scale |
| SAMPLER_NAME | COMBO | Sampler name |
| SCHEDULER | COMBO | Scheduler name |
Usage
Use this node to create a new context from scratch or modify specific parameters in an existing context. All parameters are optional - provide only what you need to set or change.