ComfyUI-LBM
A ComfyUI implementation of Latent Bridge Matching (LBM) for efficient image relighting. This node utilizes the LBM algorithm to perform single-step image-to-image translation specifically for relighting tasks.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-LBM requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
🧮 Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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Python Dependencies
Direct Answer: Running ComfyUI-LBM requires installing the following Python package dependencies: accelerate>=0.20.0, diffusers>=0.19.0, pillow>=9.0.0, requests>=2.25.0, safetensors>=0.3.1, torch>=2.0.0, torchvision>=0.15.0, tqdm>=4.65.0, transformers>=4.30.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
diffusers>=0.19.0
pillow>=9.0.0
requests>=2.25.0
safetensors>=0.3.1
torch>=2.0.0
torchvision>=0.15.0
tqdm>=4.65.0
transformers>=4.30.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...