Comfy_HunyuanImage3
Professional ComfyUI custom nodes for Tencent's HunyuanImage-3.0 80B multimodal model, with multiple loading modes, smart memory management, large image generation with CPU offload, and optional prompt enhancement via LLM APIs.
VRAM Requirements
Direct Answer: The ComfyUI node Comfy_HunyuanImage3 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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Python Dependencies
Direct Answer: Running Comfy_HunyuanImage3 requires installing the following Python package dependencies: accelerate>=1.2.1, bitsandbytes>=0.48.2, huggingface_hub>=0.20.0, numpy>=1.26.0, pillow>=11.0.0, psutil>=5.9.0, requests>=2.32.0, safetensors>=0.4.5, torch>=2.8.0, transformers>=4.47.0. This node specifically requires PyTorch version 2.8.0 or newer.
accelerate>=1.2.1
bitsandbytes>=0.48.2
huggingface_hub>=0.20.0
numpy>=1.26.0
pillow>=11.0.0
psutil>=5.9.0
requests>=2.32.0
safetensors>=0.4.5
torch>=2.8.0
transformers>=4.47.0🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.8.0+.
# Loading PyTorch command...