ComfyUI Structured Outputs

ComfyUI Structured Outputs 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.

✅ 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

ComfyUI Structured Outputs requires the following PyTorch-related packages: torch==2.5.1, torchvision==0.20.1. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

To run ComfyUI Structured Outputs, you need to install: aiohappyeyeballs==2.4.4, aiohttp==3.11.11, aiosignal==1.3.2, annotated-types==0.7.0, anyio==4.8.0, attrs==25.1.0, certifi==2024.12.14, charset-normalizer==3.4.1, click==8.1.8, colorama==0.4.6 ; sys_platform == 'win32', distro==1.9.0, docstring-parser==0.16, filelock==3.17.0, frozenlist==1.5.0, fsspec==2024.12.0, h11==0.14.0, httpcore==1.0.7, httpx==0.28.1, idna==3.10, instructor==1.7.2, jinja2==3.1.5, jiter==0.8.2, markdown-it-py==3.0.0, markupsafe==3.0.2, mdurl==0.1.2, mpmath==1.3.0, multidict==6.1.0, networkx==3.4.2, numpy==2.2.2, nvidia-cublas-cu12==12.4.5.8 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cuda-cupti-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cuda-nvrtc-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cuda-runtime-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cufft-cu12==11.2.1.3 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-curand-cu12==10.3.5.147 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cusolver-cu12==11.6.1.9 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-cusparse-cu12==12.3.1.170 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-nccl-cu12==2.21.5 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-nvjitlink-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux', nvidia-nvtx-cu12==12.4.127 ; platform_machine == 'x86_64' and sys_platform == 'linux', openai==1.60.2, pillow==11.1.0, propcache==0.2.1, pydantic==2.10.6, pydantic-core==2.27.2, pygments==2.19.1, python-dotenv==1.0.1, requests==2.32.3, rich==13.9.4, setuptools==75.8.0, shellingham==1.5.4, sniffio==1.3.1, sympy==1.13.1, tenacity==9.0.0, torch==2.5.1, torchvision==0.20.1, tqdm==4.67.1, triton==3.1.0 ; python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux', typer==0.15.1, typing-extensions==4.12.2, urllib3==2.3.0, yarl==1.18.3. You can install these using pip or add them to your requirements.txt file.

ComfyUI Structured Outputs 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.

To install ComfyUI Structured Outputs: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/tigeryy2/comfyui-structured-outputs, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.