TenserTensor
ee88f9be6c
Implement sampling nodes: - ksampler.py: standard sampler with basic parameters - ksampler_advanced.py: advanced sampler with step control and noise settings - ksampler_context.py: context-based sampler extracting parameters from workflow context - ksampler_two_stage.py: automated two-stage sampling (draft + refinement) Add markdown documentation for all sampler nodes
1.8 KiB
1.8 KiB
TT_SdxlModelsLoader
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All-in-one model loader for SDXL workflows with checkpoint merging support.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
primary_ckpt |
CHECKPOINT | Yes | Primary SDXL checkpoint to load |
secondary_ckpt |
CHECKPOINT | Yes | Secondary checkpoint to merge (select "None" to skip) |
primary_weight |
FLOAT | Yes | Weight for primary checkpoint in merge (0.0-1.0, default: 1.0) |
clip_l |
TEXT_ENCODER | Yes | CLIP-L text encoder model |
clip_g |
TEXT_ENCODER | Yes | CLIP-G text encoder model |
clip_device |
STRING | Yes | Device for CLIP ("default" or "cpu") - advanced |
vae_name |
VAE | Yes | VAE model to load |
Outputs
| Parameter | Type | Description |
|---|---|---|
MODEL |
MODEL | Loaded (and optionally merged) SDXL model |
CLIP |
CLIP | Combined CLIP-L and CLIP-G text encoders |
VAE |
VAE | Loaded VAE |
Usage
Use this node to load all SDXL model components in one place. Optionally merge two checkpoints by selecting a secondary checkpoint and adjusting the primary_weight (1.0 = 100% primary, 0.5 = 50/50 mix, 0.0 = 100% secondary).