ComfyUI Node: ControlNetLoaderDisTorch2MultiGPU
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
multigpu/distorch_2
Inputs
control_net_name
compute_device
- cpu
virtual_vram_gb FLOAT
donor_device
- cpu
expert_mode_allocations STRING
eject_models BOOLEAN
Outputs
CONTROL_NET
Extension: ComfyUI-MultiGPU
This extension adds CUDA device selection to supported loader nodes in ComfyUI. By monkey-patching ComfyUI’s memory management, each model component (like UNet, Clip, or VAE) can be loaded on a specific GPU. Examples included are multi-GPU workflows for SDXL, FLUX, LTXVideo, and Hunyuan Video for both standard and GGUF loader nodes.
Authored by pollockjj
Looking for a different node?
More nodes in ComfyUI-MultiGPU
- CheckpointLoaderAdvancedDisTorch2MultiGPU
- CheckpointLoaderAdvancedMultiGPU
- CheckpointLoaderSimpleDisTorch2MultiGPU
- CheckpointLoaderSimpleMultiGPU
- CLIPLoaderDisTorch2MultiGPU
- CLIPLoaderMultiGPU
- CLIPVisionLoaderDisTorch2MultiGPU
- CLIPVisionLoaderMultiGPU
- ControlNetLoaderMultiGPU
- DeviceSelectorMultiGPU
- DiffControlNetLoaderDisTorch2MultiGPU
- DiffControlNetLoaderMultiGPU
Other multigpu/distorch_2 nodes
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.