ComfyUI Node
AutoMultiGPU - PyTorch Engine (Native Device Split)
Rock-solid native PyTorch component isolation for 100% stability and zero OOM across all model architectures.
AutoMultiGPU - PyTorch Engine (Native Device Split)
- MODEL
- CLIP
- VAE
◄unet_name▾►
◄clip_name1none►
◄clip_name2none►
◄vae_namepixel_space►
◄model_typeauto►
◄clip_devicecpu►
◄vae_devicecpu►
◄weight_dtypedefault►
◄cpu_offload_modealways_offload_to_cpu►
CategoryAutoMultiGPU/Engines
Inputs (9)
| Name | Type | Default | Description |
|---|---|---|---|
| unet_name | COMBO | Select UNet / DiT model (.safetensors or .gguf) | |
| clip_name1 | COMBO | none | First Text Encoder (.safetensors or .gguf) |
| clip_name2 | COMBO | none | Optional Second Text Encoder |
| vae_name | COMBO | pixel_space | VAE model |
| model_type | COMBO | auto | Architecture model type for CLIP/UNet mapping |
| clip_device | COMBO | cpu | Device to isolate text encoders on |
| vae_device | COMBO | cpu | Device for VAE decode |
| weight_dtypeopt | COMBO | default | 7 options: default, fp8_e4m3fn, fp8_e4m3fn_fast, fp8_e5m2, float16, bfloat16, +1 |
| cpu_offload_modeopt | COMBO | always_offload_to_cpu | 3 options: always_offload_to_cpu, keep_in_vram, comfy_default |
Outputs (3)
| Name | Type | Description |
|---|---|---|
| MODEL | MODEL | — |
| CLIP | CLIP | — |
| VAE | VAE | — |