ComfyUI Node
Fun KSampler
Uses the provided model, positive and negative conditioning to denoise the latent image. Saves intermediate previews to the outputs folder using TAESD for better quality.
Fun KSampler
- model
- positive
- negative
- latent_image
- vae
- latent
- preview_latents
◄seed0►
◄steps20►
◄cfg8.0►
◄sampler_name▾►
◄scheduler▾►
◄denoise1.00►
◄preview_steps5►
◄skip_steps0►
Categorysampling
Inputs (13)
| 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. | |
| vae | VAE | The VAE used for decoding the latent images. | |
| 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. |
| preview_steps | INT | 51–20 | Number of intermediate previews to generate during sampling. |
| skip_steps | INT | 00–10000 | Number of steps to skip before starting to save previews. |
Outputs (2)
| Name | Type | Description |
|---|---|---|
| latent | LATENT | The final denoised latent. |
| preview_latents | LATENT | Preview images are saved directly to the outputs folder using TAESD for better quality. |