TenserTensor
93244a7730
Implement workflow configuration nodes: - flux_workflow_settings.py: basic Flux workflow configuration - flux_workflow_settings_advanced.py: advanced Flux settings with extended prompt fields - sdxl_workflow_settings.py: basic SDXL workflow configuration - sdxl_workflow_settings_advanced.py: advanced SDXL settings with extended prompt fields - latent_factory.py: generate latents with aspect ratio, megapixels, orientation, and type selection Add markdown documentation for all nodes
1.9 KiB
1.9 KiB
TT_FluxWorkflowSettings
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Node for configuring Flux workflow generation parameters.
Inputs
| Parameter | Type | Default | Range | Description |
|---|---|---|---|---|
seed |
INT | 0 | 0 - 2^64-1 | Seed for reproducible results |
steps |
INT | 25 | 1 - 10000 | Number of sampling steps |
cfg |
FLOAT | 1.5 | 0.0 - 100.0 | CFG scale (classifier-free guidance) |
sampler_name |
STRING | - | - | Sampler name from available list |
scheduler |
STRING | - | - | Scheduler type |
guidance |
FLOAT | 3.5 | 1.0 - 10.0 | Guidance strength for Flux |
Outputs
| Output | Type | Description |
|---|---|---|
WORKFLOW_CONFIG |
TT_WORKFLOW_CONFIG | Dictionary with all settings |
SEED |
INT | Seed value |
STEPS |
INT | Number of steps |
CFG |
FLOAT | CFG scale |
SAMPLER_NAME |
STRING | Sampler name |
SCHEDULER |
STRING | Scheduler |
GUIDANCE |
FLOAT | Guidance value |
Purpose
Centralized control of generation settings for Flux models. Allows you to set all main parameters in one place and pass them through the workflow both as a single config object and as individual values.