Emu35-Comfyui-Nodes
ComfyUI integration for BAAI's Emu3.5 multimodal models for text-to-image generation and multimodal understanding. (Description by CC)
How much VRAM does Emu35-Comfyui-Nodes require?
Direct Answer: The ComfyUI node Emu35-Comfyui-Nodes 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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What Python packages are required for Emu35-Comfyui-Nodes?
Direct Answer: Running Emu35-Comfyui-Nodes requires installing the following Python package dependencies: accelerate>=0.20.0, bitsandbytes>=0.43.0, einops>=0.6.0, pillow>=10.0.0, protobuf>=3.20.0, safetensors>=0.4.0, sentencepiece>=0.1.99, torch>=2.0.0, transformers>=4.45.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
bitsandbytes>=0.43.0
einops>=0.6.0
pillow>=10.0.0
protobuf>=3.20.0
safetensors>=0.4.0
sentencepiece>=0.1.99
torch>=2.0.0
transformers>=4.45.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does Emu35-Comfyui-Nodes require?
Emu35-Comfyui-Nodes 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 Emu35-Comfyui-Nodes 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 Emu35-Comfyui-Nodes need?
Emu35-Comfyui-Nodes requires the following PyTorch-related packages: torch>=2.0.0. 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 Emu35-Comfyui-Nodes?
To run Emu35-Comfyui-Nodes, you need to install: accelerate>=0.20.0, bitsandbytes>=0.43.0, einops>=0.6.0, pillow>=10.0.0, protobuf>=3.20.0, safetensors>=0.4.0, sentencepiece>=0.1.99, torch>=2.0.0, transformers>=4.45.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Emu35-Comfyui-Nodes?
Emu35-Comfyui-Nodes 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 Emu35-Comfyui-Nodes in ComfyUI?
To install Emu35-Comfyui-Nodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/EricRollei/Emu35-Comfyui-Nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.