49 lines
2.9 KiB
Markdown
49 lines
2.9 KiB
Markdown
## TT FLUX Workflow Settings (Advanced) *TT_FluxWorkflowSettingsAdvancedNode*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Extended FLUX workflow settings node with built-in prompt inputs for CLIP-L and T5-XXL encoders. Combines sampler configuration and text prompts in a
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single node.
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### Inputs
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| Parameter | Type | Required | Description |
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|-------------------|--------|----------|--------------------------------------|
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| `seed` | INT | Yes | Generation seed |
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| `steps` | INT | Yes | Number of sampling steps, default 30 |
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| `cfg` | FLOAT | Yes | Guidance scale, default 5.0 |
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| `sampler_name` | COMBO | Yes | Sampler algorithm |
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| `scheduler` | COMBO | Yes | Noise schedule |
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| `clip_l_positive` | STRING | Yes | CLIP-L positive prompt |
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| `t5xxl_positive` | STRING | Yes | T5-XXL positive prompt |
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| `clip_l_negative` | STRING | Yes | CLIP-L negative prompt |
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| `t5xxl_negative` | STRING | Yes | T5-XXL negative prompt |
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| `lora_triggers` | STRING | No | LoRA trigger words (advanced) |
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| `guidance` | FLOAT | Yes | FLUX guidance scale, default 3.0 |
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### Outputs
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| Parameter | Type | Description |
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|-------------------|-----------------|------------------------------------------|
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| `WORKFLOW_CONFIG` | WORKFLOW_CONFIG | Workflow config object for context nodes |
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| `SEED` | INT | Generation seed |
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| `STEPS` | INT | Number of sampling steps |
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| `CFG` | FLOAT | Guidance scale |
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| `SAMPLER_NAME` | STRING | Sampler algorithm name |
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| `SCHEDULER` | STRING | Noise schedule name |
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| `CLIP_L_POSITIVE` | STRING | CLIP-L positive prompt |
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| `T5XXL_POSITIVE` | STRING | T5-XXL positive prompt |
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| `CLIP_L_NEGATIVE` | STRING | CLIP-L negative prompt |
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| `T5XXL_NEGATIVE` | STRING | T5-XXL negative prompt |
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| `LORA_TRIGGERS` | STRING | LoRA trigger words |
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| `GUIDANCE` | FLOAT | FLUX guidance scale |
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### Usage
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Use when you want prompts and sampler settings in one place. Connect `WORKFLOW_CONFIG` to context nodes, or use individual outputs for direct
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connections. LoRA trigger words are appended to the positive prompt automatically in the text encoder node.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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