ComfyUI Node
❌[DEPRECATED] Z-Sampler Turbo ^g1 (Advanced)
Efficiently denoises latent images, 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.
❌[DEPRECATED] Z-Sampler Turbo ^g1 (Advanced)
- model
- positive
- latent_input
- divider
- latent_output
◄seed1►
◄steps8►
◄denoise1.00►
◄initial_noise_calibration0.00►
◄noise_bias_estimationexperimental►
◄noise_bias_sample_sizeimage_size►
◄noise_bias_scale0.12►
◄noise_overdose0.33►
Category⚡Z-Image/__deprecated
Inputs (12)
| Name | Type | Default | Description |
|---|---|---|---|
| model | MODEL | The model used for generating the latent images. | |
| positive | CONDITIONING | The conditioning used to guide the generation process toward the desired content. | |
| latent_input | LATENT | The initial latent image to be modified; typically an 'Empty Latent' for text-to-image or an encoded image for img2img. | |
| seed | INT | 11–18446744073709550000 | The seed used for the random noise generator, ensuring the same result is produced with the same value. |
| steps | INT | 84–9 | The number of iterations to be performed during the sampling process. |
| denoise | FLOAT | 1.000–1 | The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling. |
| divider | ZIPN_SEPARATOR | — | |
| initial_noise_calibration | FLOAT | 0.000–1 | The amount of adjustment applied to the initial noise (0 means no adjustment). This typically enhances image contrast and saturation, higher values increase these effects more significantly. |
| noise_bias_estimation | COMBO | experimental | Method used to estimate the bias in each channel of the initial noise. `experimental`: Calculate the bias by denoising a latent image with minimal noise. `accurate`: Calculate the bias by denoising a fully noisy latent image. |
| noise_bias_sample_size | COMBO | image_size | The size of the latent image used to calculate the bias. The smaller the image size, the faster the calculation of the first step. |
| noise_bias_scale | FLOAT | 0.120–1 | The level of adjustament from the calculated noise bias to apply before the first denoising step. (0.0 means no bias adjustment; 1.0 means using the calculated bias). |
| noise_overdose | FLOAT | 0.33-1–1 | The amount of overamplitude in the initial noise generation. (negative values will reduce the amplitude). |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| latent_output | LATENT | The resulting denoised latent image, ready to be decoded by a VAE or passed to another sampler. |