49 lines
3.1 KiB
Markdown
49 lines
3.1 KiB
Markdown
## TT SDXL Workflow Settings *TT_SdxlWorkflowSettingsNode*
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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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Configures global workflow parameters for SDXL pipelines. Outputs a workflow config object alongside individual parameters for direct node
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connections.
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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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| `ascore_positive` | FLOAT | Yes | Aesthetic score for positive conditioning, default 9.0 |
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| `ascore_negative` | FLOAT | Yes | Aesthetic score for negative conditioning, default 6.0 |
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| `width` | INT | Yes | Image width in pixels |
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| `height` | INT | Yes | Image height in pixels |
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| `target_width` | INT | No | CLIP target width (advanced) |
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| `target_height` | INT | No | CLIP target height (advanced) |
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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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| `ASCORE_POSITIVE` | FLOAT | Aesthetic score for positive conditioning |
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| `ASCORE_NEGATIVE` | FLOAT | Aesthetic score for negative conditioning |
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| `WIDTH` | INT | Image width |
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| `HEIGHT` | INT | Image height |
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| `TARGET_WIDTH` | INT | CLIP target width |
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| `TARGET_HEIGHT` | INT | CLIP target height |
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### Usage
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Connect `WORKFLOW_CONFIG` to context-based nodes. Use individual outputs for direct connections to sampler and encoder nodes. Set `target_width` and
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`target_height` to match the original training resolution for best results — defaults to image dimensions if not set.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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