ComfyUI DreamOmni2 Node
A custom node for ComfyUI that integrates DreamOmni2 for image generation and editing with multi-modal understanding.
VRAM Requirements
Direct Answer: The ComfyUI node ComfyUI DreamOmni2 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!
Deploy on High-Performance GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.
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 DreamOmni2 Node requires installing the following Python package dependencies: accelerate>=0.34.0, diffusers>=0.31.0, numpy>=1.24.0, optimum-quanto>=0.2.0, pillow>=10.0.0, qwen-vl-utils>=0.0.8, safetensors>=0.4.0, torch>=2.0.0, torchvision>=0.15.0, transformers>=4.46.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.34.0
diffusers>=0.31.0
numpy>=1.24.0
optimum-quanto>=0.2.0
pillow>=10.0.0
qwen-vl-utils>=0.0.8
safetensors>=0.4.0
torch>=2.0.0
torchvision>=0.15.0
transformers>=4.46.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...