KSampler

sampling

KSampler

Uses the provided model, positive and negative conditioning to denoise the latent image.

Example

JSON Example

{
  "class_type": "KSampler",
  "inputs": {
    "model": [
      "node_id",
      0
    ],
    "seed": 0,
    "steps": 20,
    "cfg": 8,
    "sampler_name": "euler",
    "scheduler": "simple",
    "positive": [
      "node_id",
      0
    ],
    "negative": [
      "node_id",
      0
    ],
    "latent_image": [
      "node_id",
      0
    ],
    "denoise": 1
  }
}

This example shows required inputs only. Connection values like ["node_id", 0] should reference actual node IDs from your workflow.

Inputs

Name	Type	Status	Constraints	Default
model?	MODEL	required	-	-
seed?	INT	required	min: 0, max: 1.84e+19	0
steps?	INT	required	min: 1, max: 10000	20
cfg?	FLOAT	required	min: 0, max: 100, step: 0.1	8
sampler_name?	ENUM 44 options euler euler_cfg_pp euler_ancestral euler_ancestral_cfg_pp heun heunpp2 exp_heun_2_x0 exp_heun_2_x0_sde dpm_2 dpm_2_ancestral lms dpm_fast dpm_adaptive dpmpp_2s_ancestral dpmpp_2s_ancestral_cfg_pp dpmpp_sde dpmpp_sde_gpu dpmpp_2m dpmpp_2m_cfg_pp dpmpp_2m_sde dpmpp_2m_sde_gpu dpmpp_2m_sde_heun dpmpp_2m_sde_heun_gpu dpmpp_3m_sde dpmpp_3m_sde_gpu ddpm lcm ipndm ipndm_v deis res_multistep res_multistep_cfg_pp res_multistep_ancestral res_multistep_ancestral_cfg_pp gradient_estimation gradient_estimation_cfg_pp er_sde seeds_2 seeds_3 sa_solver sa_solver_pece ddim uni_pc uni_pc_bh2	required	-	-
scheduler?	ENUM 9 options simple sgm_uniform karras exponential ddim_uniform beta normal linear_quadratic kl_optimal	required	-	-
positive?	CONDITIONING	required	-	-
negative?	CONDITIONING	required	-	-
latent_image?	LATENT	required	-	-
denoise?	FLOAT	required	min: 0, max: 1, step: 0.01	1

Outputs

Index	Name	Type	Is List	Connection Reference
0	LATENT	LATENT	No	["{node_id}", 0]

How to connect to these outputs

To connect another node's input to an output from this node, use the connection reference format:

["node_id", output_index]

Where node_id is the ID of this KSampler node in your workflow, and output_index is the index from the table above.

Example

If this node has ID "5" in your workflow:

• LATENT (LATENT): ["5", 0]

Package: comfyui-core