Nodes/ComfyUI-ZImagePowerNodes/❌[DEPRECATED] Z-Sampler Turbo ^g1
ComfyUI Node

❌[DEPRECATED] Z-Sampler Turbo ^g1

Efficiently denoises the latent image, specifically tuned for the "Z-Image Turbo" model. This node takes a Z-Image Turbo model, an initial latent image, and conditioning parameters, and produces a denoised output ready for further processing or decoding.

By martin-rizzo·Created 7 months ago·Updated a day ago· 346
❌[DEPRECATED] Z-Sampler Turbo ^g1
  • model
  • positive
  • latent_input
  • divider
  • latent_output
seed1
steps9
denoise1.00
initial_noise_calibrationoff
lowres_biasfalse
Category⚡Z-Image/__deprecated

Inputs (9)

NameTypeDefaultDescription
modelMODELThe model used for generating the latent images.
positiveCONDITIONINGThe conditioning used to guide the generation process toward the desired content.
latent_inputLATENTThe initial latent image to be modified; typically an 'Empty Latent' for text-to-image or an encoded image for img2img.
seedINT10–18446744073709550000The seed used for the random noise generator, ensuring the same result is produced with the same value.
stepsINT94–9The number of iterations to be performed during the sampling process.
denoiseFLOAT1.000–1The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling.
dividerZIPN_SEPARATOR
initial_noise_calibrationCOMBOoffThe amount of adjustment applied to the initial noise. This typically enhances image contrast and saturation, higher values increase these effects more significantly.
lowres_biasBOOLEANfalseWhen enabled, it use a smaller latent image to calculate the initial noise bias, accelerating the first step. Otherwise the full size of the input image is used.

Outputs (1)

NameTypeDescription
latent_outputLATENTThe resulting denoised latent image, ready to be decoded by a VAE or passed to another sampler.