ComfyUI-Multiverse
Make Multiverse avialbe in ComfyUI. Multiverse: The First AI Multiplayer World Model. Two human players driving cars in Multiverse.
How much VRAM does ComfyUI-Multiverse require?
Direct Answer: The ComfyUI node ComfyUI-Multiverse 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI-Multiverse?
Direct Answer: Running ComfyUI-Multiverse requires installing the following Python package dependencies: ale-py==0.9.0, gymnasium==0.29.1, h5py==3.11.0, huggingface-hub==0.17.2, hydra-core==1.3, numpy==1.26.0, opencv-python==4.10.0.84, pillow==10.3.0, pygame==2.5.2, torch==2.1.0, torcheval==0.0.7, torchvision==0.16.0, tqdm==4.66.4, wandb==0.17.0. Ensure your ComfyUI environment has these packages active before launching.
ale-py==0.9.0
gymnasium==0.29.1
h5py==3.11.0
huggingface-hub==0.17.2
hydra-core==1.3
numpy==1.26.0
opencv-python==4.10.0.84
pillow==10.3.0
pygame==2.5.2
torch==2.1.0
torcheval==0.0.7
torchvision==0.16.0
tqdm==4.66.4
wandb==0.17.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Multiverse require?
ComfyUI-Multiverse requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-Multiverse on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom
What PyTorch version does ComfyUI-Multiverse need?
ComfyUI-Multiverse requires the following PyTorch-related packages: torch==2.1.0, torcheval==0.0.7, torchvision==0.16.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI-Multiverse?
To run ComfyUI-Multiverse, you need to install: ale-py==0.9.0, gymnasium==0.29.1, h5py==3.11.0, huggingface-hub==0.17.2, hydra-core==1.3, numpy==1.26.0, opencv-python==4.10.0.84, pillow==10.3.0, pygame==2.5.2, torch==2.1.0, torcheval==0.0.7, torchvision==0.16.0, tqdm==4.66.4, wandb==0.17.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Multiverse?
ComfyUI-Multiverse supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI-Multiverse in ComfyUI?
To install ComfyUI-Multiverse: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Yuan-ManX/ComfyUI-Multiverse, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.