ComfyUI-ArchAi3d-Qwen
Professional AI Interior Design Toolkit for ComfyUI. Custom Qwen-VL nodes with 4 design modes: Text-to-Design, Mood Board, Reference Control, and Room Cleaning. Includes 5 optimized nodes with advanced strength controls and 23 preferred aspect ratios.
How much VRAM does ComfyUI-ArchAi3d-Qwen require?
Direct Answer: The ComfyUI node ComfyUI-ArchAi3d-Qwen 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!
Deploy on High-Performance GPUs
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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-ArchAi3d-Qwen?
Direct Answer: Running ComfyUI-ArchAi3d-Qwen requires installing the following Python package dependencies: addict, colour-science, einops, ftfy, gdown>=5.0.0, google-genai>=1.0.0, hf_transfer# Multi-connection fast downloads, huggingface_hub>=0.19.0, iopath, matplotlib, numpy, opencv-python>=4.7.0, pandas, pillow, py360convert, pycocotools, pyyaml>=6.0, regex, requests, sam3, scikit-image, scikit-learn, scipy, timm, tqdm, typing_extensions, yapf. Ensure your ComfyUI environment has these packages active before launching.
addict
colour-science
einops
ftfy
gdown>=5.0.0
google-genai>=1.0.0
hf_transfer# Multi-connection fast downloads
huggingface_hub>=0.19.0
iopath
matplotlib
numpy
opencv-python>=4.7.0
pandas
pillow
py360convert
pycocotools
pyyaml>=6.0
regex
requests
sam3
scikit-image
scikit-learn
scipy
timm
tqdm
typing_extensions
yapfInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-ArchAi3d-Qwen require?
ComfyUI-ArchAi3d-Qwen 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 ComfyUI-ArchAi3d-Qwen 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 Python packages are required for ComfyUI-ArchAi3d-Qwen?
To run ComfyUI-ArchAi3d-Qwen, you need to install: addict, colour-science, einops, ftfy, gdown>=5.0.0, google-genai>=1.0.0, hf_transfer# Multi-connection fast downloads, huggingface_hub>=0.19.0, iopath, matplotlib, numpy, opencv-python>=4.7.0, pandas, pillow, py360convert, pycocotools, pyyaml>=6.0, regex, requests, sam3, scikit-image, scikit-learn, scipy, timm, tqdm, typing_extensions, yapf. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-ArchAi3d-Qwen?
ComfyUI-ArchAi3d-Qwen 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 ComfyUI-ArchAi3d-Qwen in ComfyUI?
To install ComfyUI-ArchAi3d-Qwen: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/amir84ferdos/ComfyUI-ArchAi3d-Qwen, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.