# TT SDXL Workflow Settings *TT_SdxlWorkflowSettings* *This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.* Node for configuring SDXL workflow generation parameters. ## Inputs | Parameter | Type | Default | Range | Description | |----------------|-------|---------|-------------|--------------------------------------| | `seed` | INT | 0 | 0 - 2^64-1 | Seed for reproducible results | | `steps` | INT | 30 | 1 - 10000 | Number of sampling steps | | `cfg` | FLOAT | 7.0 | 0.0 - 100.0 | CFG scale (classifier-free guidance) | | `sampler_name` | COMBO | - | - | Sampler name from available list | | `scheduler` | COMBO | - | - | Scheduler type | ## 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` | COMBO | Sampler name | | `SCHEDULER` | COMBO | Scheduler | ## Purpose Centralized control of generation settings for SDXL 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. Uses SDXL-optimized defaults (30 steps, CFG 7.0). --- [View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)