ComfyUI-MVAdapter
This extension integrates [a/MV-Adapter](https://github.com/huanngzh/MV-Adapter) into ComfyUI, allowing users to generate multi-view consistent images from text prompts or single images directly within the ComfyUI interface.
How much VRAM does ComfyUI-MVAdapter require?
Direct Answer: The ComfyUI node ComfyUI-MVAdapter 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!
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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-MVAdapter?
Direct Answer: Running ComfyUI-MVAdapter requires installing the following Python package dependencies: accelerate==1.1.1, diffusers==0.31.0, einops, huggingface_hub==0.24.6, kornia, numpy>=1.26.2, omegaconf, opencv-python, peft, pillow, safetensors, scikit-image, timm, torch>=2.1.1, torchvision>=0.16.1, transformers==4.46.3, trimesh. This node specifically requires PyTorch version 2.1.1 or newer.
accelerate==1.1.1
diffusers==0.31.0
einops
huggingface_hub==0.24.6
kornia
numpy>=1.26.2
omegaconf
opencv-python
peft
pillow
safetensors
scikit-image
timm
torch>=2.1.1
torchvision>=0.16.1
transformers==4.46.3
trimeshInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.1.1+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-MVAdapter require?
ComfyUI-MVAdapter requires a minimum of 256MB (0.3GB) 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-MVAdapter on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What PyTorch version does ComfyUI-MVAdapter need?
ComfyUI-MVAdapter requires the following PyTorch-related packages: torch>=2.1.1, torchvision>=0.16.1. 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-MVAdapter?
To run ComfyUI-MVAdapter, you need to install: accelerate==1.1.1, diffusers==0.31.0, einops, huggingface_hub==0.24.6, kornia, numpy>=1.26.2, omegaconf, opencv-python, peft, pillow, safetensors, scikit-image, timm, torch>=2.1.1, torchvision>=0.16.1, transformers==4.46.3, trimesh. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-MVAdapter?
ComfyUI-MVAdapter 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-MVAdapter in ComfyUI?
To install ComfyUI-MVAdapter: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/huanngzh/ComfyUI-MVAdapter, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.