ComfyUI Node: Convert Checkpoint to Core ML
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.
Category
Core ML Suite
Inputs
ckpt_name
model_version
- SD15
- SDXL
height INT
width INT
batch_size INT
attention_implementation
- SPLIT_EINSUM
- SPLIT_EINSUM_V2
- ORIGINAL
compute_unit
- CPU_AND_NE
- CPU_AND_GPU
- ALL
- CPU_ONLY
controlnet_support BOOLEAN
quantize_nbits
- none
- 8
- 6
- 4
lora_params LORA_PARAMS
Outputs
COREML_UNET
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
Looking for a different node?
More nodes in Core ML Suite for ComfyUI
Run ComfyUI workflows without the setup
No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.