ComfyUI Node
⚡| Z-Sampler Turbo ^G2 (Extended)
Efficiently denoises the latent image using a process specifically tuned for the "Z-Image Turbo". This node takes a Z-Image Turbo model, an initial latent image, and conditioning parameters, and produces a denoised latent output ready for decoding into the final image.
⚡| Z-Sampler Turbo ^G2 (Extended)
- latent_input
- model
- positive
- divider
- divider2
- positive_stg2
- positive_stg3
- latent_output
◄seed1►
◄steps8►
◄denoise1.00►
◄initial_sample_sizefull_size►
◄intensity0.0►
◄intensity_bias0.0►
◄turbo_creativityoff►
Category⚡Z-Image
Inputs (14)
| Name | Type | Default | Description |
|---|---|---|---|
| latent_input | LATENT | The initial latent image to be denoised; usually an 'Empty Latent' for text-to-image tasks or an encoded image for image-to-image processing. | |
| model | MODEL | The Z-Image Turbo model used for denoising the latent image. | |
| positive | CONDITIONING | The main prompt/conditioning used to guide the generation process toward the desired content. | |
| seed | INT | 11–18446744073709550000 | The seed used for the random noise generator, ensuring the same result is produced with the same value. |
| steps | INT | 83–20 | Number of iterations to perform during the denoising process. |
| denoise | FLOAT | 1.000–1 | Denoising strength; lower values preserve more of the initial image structure, suitable for image-to-image sampling. |
| divider | ZIPN_SEPARATOR | — | |
| initial_sample_size | COMBO | full_size | The latent image size used for calculating the initial noise for intensity correction. While smaller sizes result in a faster first step, they can lead to a less accurate correction |
| divider2 | ZIPN_SEPARATOR | — | |
| intensity | FLOAT | 0.0-1–1 | Initial noise amplitude used to enhance contrast and colors. A value of 0.0 is neutral; negative values create more muted images, while positive values increase contrast and saturation. This only takes effect when 'denoise' is set to 1.00 |
| intensity_bias | FLOAT | 0.0-1–1 | Custom adjustment for the intensity noise bias. Usually kept at 0.0; used to fine-tune 'brightness'. Note that its effect depends heavily on the prompt and image style, so it may not always act as a simple brightness control. Adjust it within the positive or negative range until it seems right to you. |
| turbo_creativity | COMBO | off | Boosts model creativity for more diverse compositions while maintaining the general style. Be aware that this can lead to hallucinations and isn't recommended for inpainting tasks. The refined options add extra steps to try to correct the hallucinations and bring coherence to the image |
| positive_stg2opt | CONDITIONING | This input is optional and can remain disconennect. It allows specifying a different prompt/conditioning for the second stage of the denoising process. | |
| positive_stg3opt | CONDITIONING | This input is optional and can remain disconennect. It allows specifying a different prompt/conditioning for the third stage of the denoising process. |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| latent_output | LATENT | The resulting denoised latent image, ready for decoding by a VAE or passed to another node for further processing. |