1.3 KiB
1.3 KiB
TT KSampler (Guided) TT_KSamplerGuided
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Guided latent sampler that takes a pre-configured guider, sigmas, sampler, and noise to produce denoised latent samples.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
latent |
LATENT | Yes | Input latent to sample from |
guider |
GUIDER | Yes | Configured guider with encoded prompt |
sigmas |
SIGMAS | Yes | Sigma schedule for the sampling process |
sampler |
SAMPLER | Yes | Instantiated sampler object |
random_noise |
NOISE | Yes | Noise source for the diffusion process |
Outputs
| Parameter | Type | Description |
|---|---|---|
SAMPLES |
LATENT | Denoised latent samples |
Usage
Runs guided diffusion sampling on the input latent. Connect a guider from a text encoder node, sigmas from a
scheduler, and a sampler from a workflow settings node. random_noise controls stochasticity — use a seeded
noise node for reproducible results.