Core ML Sampler (Advanced) is a ComfyUI node in the Core ML Suite category from Core ML Suite for ComfyUI. Inputs: coreml_model, add_noise, noise_seed, steps…

This extension contains a set of custom nodes for ComfyUI that allow you to use Core ML models in your ComfyUI workflows. The models can be obtained here, or you can convert your own models using coremltools. The main motivation behind using Core ML models in ComfyUI is to allow you to utilize the ANE (Apple Neural Engine) on Apple Silicon (M1/M2) machines to improve performance.

Core ML Suite for ComfyUI

coreml_model

add_noise

noise_seed

steps

sampler_name

scheduler

positive

start_at_step

end_at_step

return_with_leftover_noise

negative

latent_image

CoreMLSamplerAdvanced

LATENT

Core ML Sampler (Advanced)

Name	Type	Default	Description
coreml_model	COREML_UNET		—
add_noise	COMBO		2 options: enable, disable
noise_seed	INT	00–18446744073709550000	—
steps	INT	201–10000	—
cfg	FLOAT	8.00–100	—
sampler_name	COMBO		44 options: euler, euler_cfg_pp, euler_ancestral, euler_ancestral_cfg_pp, heun, heunpp2, +38
scheduler	COMBO		9 options: simple, sgm_uniform, karras, exponential, ddim_uniform, beta, +3
positive	CONDITIONING		—
start_at_step	INT	00–10000	—
end_at_step	INT	100000–10000	—
return_with_leftover_noise	COMBO		2 options: disable, enable
negativeopt	CONDITIONING		—
latent_imageopt	LATENT		—

Core ML Sampler (Advanced)

Inputs (13)

Outputs (1)