# TT FLUX Workflow Settings (Advanced) *TT_FluxWorkflowSettingsAdvanced* *This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.* Advanced node for configuring Flux workflow generation parameters with separate CLIP-L and T5XXL prompts. ## 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` | COMBO | - | - | Sampler name from available list | | `scheduler` | COMBO | - | - | Scheduler type | | `clip_l_positive` | STRING | - | - | Positive prompt for CLIP-L encoder | | `t5xxl_positive` | STRING | - | - | Positive prompt for T5XXL encoder | | `clip_l_negative` | STRING | - | - | Negative prompt for CLIP-L encoder | | `t5xxl_negative` | STRING | - | - | Negative prompt for T5XXL encoder | | `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` | COMBO | Sampler name | | `SCHEDULER` | COMBO | Scheduler | | `CLIP_L_POSITIVE` | STRING | CLIP-L positive prompt | | `T5XXL_POSITIVE` | STRING | T5XXL positive prompt | | `CLIP_L_NEGATIVE` | STRING | CLIP-L negative prompt | | `T5XXL_NEGATIVE` | STRING | T5XXL negative prompt | | `GUIDANCE` | FLOAT | Guidance value | ## Purpose Extended version of Flux workflow settings with dual-encoder prompt control. Allows separate configuration of CLIP-L and T5XXL text encoders for precise control over the generation process. Supports dynamic prompts and multiline text input. --- [View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)