ComfyUI Node
TSampler (Latent Control)
Uses the provided model, positive and negative conditioning to denoise the latent image.
TSampler (Latent Control)
- model
- positive
- negative
- latent_image
- transform_optional
- LATENT
◄seed0►
◄steps20►
◄cfg8.0►
◄sampler_name▾►
◄scheduler▾►
◄denoise1.00►
Categorymodel/sampling
Inputs (11)
| Name | Type | Default | Description |
|---|---|---|---|
| model | MODEL | The model used for denoising the input latent. | |
| seed | INT | 00–18446744073709550000 | The random seed used for creating the noise. |
| steps | INT | 201–10000 | The number of steps used in the denoising process. |
| cfg | FLOAT | 8.00–100 | The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality. |
| sampler_name | COMBO | The algorithm used when sampling, this can affect the quality, speed, and style of the generated output. | |
| scheduler | COMBO | The scheduler controls how noise is gradually removed to form the image. | |
| positive | CONDITIONING | The conditioning describing the attributes you want to include in the image. | |
| negative | CONDITIONING | The conditioning describing the attributes you want to exclude from the image. | |
| latent_image | LATENT | The latent image to denoise. | |
| 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. |
| transform_optionalopt | TRANSFORM | — |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| LATENT | LATENT | The denoised latent. |