3.7 KiB
3.7 KiB
TT SDXL Workflow Settings (Advanced) TT_SdxlWorkflowSettingsAdvanced
Advanced SDXL workflow configuration with separate CLIP-L/G prompts and aesthetic scores.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
seed |
INT | Yes | Random seed (0 to 2^64-1, default: 0) |
steps |
INT | Yes | Sampling steps (1-10000, default: 30) |
cfg |
FLOAT | Yes | CFG scale (0.0-100.0, default: 7.0) |
sampler_name |
COMBO | Yes | Sampler algorithm |
scheduler |
COMBO | Yes | Noise scheduler |
clip_l_positive |
STRING | Yes | CLIP-L positive prompt (multiline) |
clip_g_positive |
STRING | Yes | CLIP-G positive prompt (multiline) |
clip_l_negative |
STRING | Yes | CLIP-L negative prompt (multiline) |
clip_g_negative |
STRING | Yes | CLIP-G negative prompt (multiline) |
ascore_positive |
FLOAT | Yes | Aesthetic score for positive (0.0-1000.0, default: 9.0) |
ascore_negative |
FLOAT | Yes | Aesthetic score for negative (0.0-1000.0, default: 6.0) |
width |
INT | Yes | Image width (default: 512) |
height |
INT | Yes | Image height (default: 512) |
target_width |
INT | Yes | Target width for conditioning (default: 512) |
target_height |
INT | Yes | Target height for conditioning (default: 512) |
Outputs
| Parameter | Type | Description |
|---|---|---|
WORKFLOW_CONFIG |
TT_WORKFLOW_CONFIG | Complete workflow configuration dictionary |
SEED |
INT | Random seed |
STEPS |
INT | Sampling steps |
CFG |
FLOAT | CFG scale |
SAMPLER_NAME |
COMBO | Sampler name |
SCHEDULER |
COMBO | Scheduler name |
CLIP_L_POSITIVE |
STRING | CLIP-L positive prompt |
CLIP_G_POSITIVE |
STRING | CLIP-G positive prompt |
CLIP_L_NEGATIVE |
STRING | CLIP-L negative prompt |
CLIP_G_NEGATIVE |
STRING | CLIP-G negative prompt |
ASCORE_POSITIVE |
FLOAT | Aesthetic score positive |
ASCORE_NEGATIVE |
FLOAT | Aesthetic score negative |
WIDTH |
INT | Width |
HEIGHT |
INT | Height |
TARGET_WIDTH |
INT | Target width |
TARGET_HEIGHT |
INT | Target height |
Usage
Configure all SDXL workflow parameters with fine-grained control over CLIP-L and CLIP-G prompts separately, plus aesthetic scores and target dimensions. Returns both a bundled config dictionary and individual parameters for flexible workflow design.