ComfyUI-OmniGen2
ComfyUI-OmniGen2 is now available in ComfyUI, OmniGen2 is a powerful and efficient unified multimodal model. Its architecture is composed of two key components: a 3B Vision-Language Model (VLM) and a 4B diffusion model.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI-OmniGen2 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running ComfyUI-OmniGen2 requires installing the following Python package dependencies: accelerate, diffusers, einops, ipykernel, matplotlib, ninja, numpy, omegaconf, opencv-python-headless, pillow, python-dotenv, scipy, timm, torch>=2.6.0, torchvision>=0.21.0, tqdm, transformers>=4.51.3, wandb. This node specifically requires PyTorch version 2.6.0 or newer.
accelerate
diffusers
einops
ipykernel
matplotlib
ninja
numpy
omegaconf
opencv-python-headless
pillow
python-dotenv
scipy
timm
torch>=2.6.0
torchvision>=0.21.0
tqdm
transformers>=4.51.3
wandb🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.6.0+.
# Loading PyTorch command...