ComfyUI-MiniMax-Remover

ComfyUI-MiniMax-Remover is a custom node for ComfyUI that enables fast and efficient object removal using minimax optimization. It works in two stages: first, it trains a remover with a simplified DiT model; then it distills a robust version using CFG guidance and fewer inference steps.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-MiniMax-Remover requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

🧮 Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-MiniMax-Remover requires installing the following Python package dependencies: accelerate>=0.20.0, decord>=0.6.0, diffusers>=0.21.0, einops>=0.6.0, huggingface_hub>=0.16.0, numpy>=1.21.0, omegaconf>=2.1.0, opencv-python>=4.5.0, pillow>=8.0.0, scipy>=1.9.0, torch>=1.13.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
accelerate>=0.20.0
decord>=0.6.0
diffusers>=0.21.0
einops>=0.6.0
huggingface_hub>=0.16.0
numpy>=1.21.0
omegaconf>=2.1.0
opencv-python>=4.5.0
pillow>=8.0.0
scipy>=1.9.0
torch>=1.13.0

🛠️ Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

⚠️ Special Environment Requirements:

Requires PyTorch version 1.13.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...