1.8 KiB
1.8 KiB
TT KSampler TT_KSamplerNode
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Standard KSampler node with built-in latent preview support. Accepts model, conditioning, and latent as separate inputs.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
model |
MODEL | Yes | Diffusion model |
positive |
CONDITIONING | Yes | Positive conditioning |
negative |
CONDITIONING | Yes | Negative conditioning |
latent |
LATENT | Yes | Input latent tensor |
seed |
INT | Yes | Generation seed |
steps |
INT | Yes | Number of sampling steps, default 30 |
cfg |
FLOAT | Yes | Guidance scale, default 3.0 |
sampler_name |
COMBO | Yes | Sampler algorithm |
scheduler |
COMBO | Yes | Noise schedule |
preview_latent |
BOOLEAN | No | Show step-by-step latent preview during sampling |
Outputs
| Parameter | Type | Description |
|---|---|---|
LATENT |
LATENT | Sampled latent tensor |
Usage
Connect MODEL, CONDITIONING, and LATENT outputs from loader and encoder nodes. Enable preview_latent to see intermediate results during
sampling.