OmniGen2 Simple Node
A ComfyUI custom node package for the OmniGen2 multimodal generation model.
How much VRAM does OmniGen2 Simple Node require?
Direct Answer: The ComfyUI node OmniGen2 Simple Node 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 OmniGen2 Simple Node?
Direct Answer: Running OmniGen2 Simple Node requires installing the following Python package dependencies: accelerate, diffusers, einops, ipykernel, matplotlib, ninja, omegaconf, opencv-python-headless, pillow, python-dotenv, scipy, timm, torch==2.6.0, torchvision==0.21.0, tqdm, transformers==4.51.3, wandb. Ensure your ComfyUI environment has these packages active before launching.
accelerate
diffusers
einops
ipykernel
matplotlib
ninja
omegaconf
opencv-python-headless
pillow
python-dotenv
scipy
timm
torch==2.6.0
torchvision==0.21.0
tqdm
transformers==4.51.3
wandbInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does OmniGen2 Simple Node require?
OmniGen2 Simple Node 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 OmniGen2 Simple Node 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 OmniGen2 Simple Node need?
OmniGen2 Simple Node requires the following PyTorch-related packages: torch==2.6.0, torchvision==0.21.0. 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 OmniGen2 Simple Node?
To run OmniGen2 Simple Node, you need to install: accelerate, diffusers, einops, ipykernel, matplotlib, ninja, omegaconf, opencv-python-headless, pillow, python-dotenv, scipy, timm, torch==2.6.0, torchvision==0.21.0, tqdm, transformers==4.51.3, wandb. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running OmniGen2 Simple Node?
OmniGen2 Simple Node 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 OmniGen2 Simple Node in ComfyUI?
To install OmniGen2 Simple Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/namtb96/OmniGen2-Simple-Node, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.