ComfyUI Node: Core ML Sampler

Authored by aszc-dev

Created about a year ago

Updated 2 months ago

120 stars

Inputs

coreml_model COREML_UNET

seed INT

steps INT

cfg FLOAT

sampler_name

euler
euler_ancestral
heun
heunpp2
dpm_2
dpm_2_ancestral
lms
dpm_fast
dpm_adaptive
dpmpp_2s_ancestral
dpmpp_sde
dpmpp_sde_gpu
dpmpp_2m
dpmpp_2m_sde
dpmpp_2m_sde_gpu
dpmpp_3m_sde
dpmpp_3m_sde_gpu
ddpm
lcm
ddim
uni_pc
uni_pc_bh2

scheduler

normal
karras
exponential
sgm_uniform
simple
ddim_uniform

positive CONDITIONING

denoise FLOAT

negative CONDITIONING

latent_image LATENT

Outputs

LATENT

Extension: Core ML Suite for ComfyUI

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.

Authored by aszc-dev

ComfyUI Node: Core ML Sampler

Category

Inputs

Outputs

Extension: Core ML Suite for ComfyUI

related extension: