IF_Trellis
ComfyUI IF Trellis creates a 3d mesh from a single view or multi angle pictures
How much VRAM does IF_Trellis require?
Direct Answer: The ComfyUI node IF_Trellis 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 IF_Trellis?
Direct Answer: Running IF_Trellis requires installing the following Python package dependencies: diffrp-nvdiffrast, easydict, https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp312-cp312-linux_x86_64.whl; (python_version >= "3.12" and python_version < "3.13"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp311-cp311-linux_x86_64.whl; (python_version >= "3.11" and python_version < "3.12"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp310-cp310-linux_x86_64.whl; (python_version >= "3.10" and python_version < "3.11"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp39-cp39-linux_x86_64.whl; (python_version >= "3.9" and python_version < "3.10"), igraph, imageio, imageio-ffmpeg, ninja, onnxruntime, onnxruntime-gpu, opencv-python-headless, pillow, plyfile, pymeshfix, pyvista, rembg, sageattention, scipy, spconv-cu124>=2.3.6, tqdm, trimesh, triton, xatlas, xformers. Ensure your ComfyUI environment has these packages active before launching.
diffrp-nvdiffrast
easydict
https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp312-cp312-linux_x86_64.whl; (python_version >= "3.12" and python_version < "3.13")
https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp311-cp311-linux_x86_64.whl; (python_version >= "3.11" and python_version < "3.12")
https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp310-cp310-linux_x86_64.whl; (python_version >= "3.10" and python_version < "3.11")
https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp39-cp39-linux_x86_64.whl; (python_version >= "3.9" and python_version < "3.10")
igraph
imageio
imageio-ffmpeg
ninja
onnxruntime
onnxruntime-gpu
opencv-python-headless
pillow
plyfile
pymeshfix
pyvista
rembg
sageattention
scipy
spconv-cu124>=2.3.6
tqdm
trimesh
triton
xatlas
xformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does IF_Trellis require?
IF_Trellis 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 IF_Trellis 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 IF_Trellis need?
IF_Trellis requires the following PyTorch-related packages: https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp312-cp312-linux_x86_64.whl; (python_version >= "3.12" and python_version < "3.13"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp311-cp311-linux_x86_64.whl; (python_version >= "3.11" and python_version < "3.12"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp310-cp310-linux_x86_64.whl; (python_version >= "3.10" and python_version < "3.11"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp39-cp39-linux_x86_64.whl; (python_version >= "3.9" and python_version < "3.10"). Ensure your ComfyUI environment has these installed. CUDA 12.4 is required. This is optimized for RTX 4000 series and newer GPUs.
What Python packages are required for IF_Trellis?
To run IF_Trellis, you need to install: diffrp-nvdiffrast, easydict, https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp312-cp312-linux_x86_64.whl; (python_version >= "3.12" and python_version < "3.13"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp311-cp311-linux_x86_64.whl; (python_version >= "3.11" and python_version < "3.12"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp310-cp310-linux_x86_64.whl; (python_version >= "3.10" and python_version < "3.11"), https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu124/kaolin-0.17.0-cp39-cp39-linux_x86_64.whl; (python_version >= "3.9" and python_version < "3.10"), igraph, imageio, imageio-ffmpeg, ninja, onnxruntime, onnxruntime-gpu, opencv-python-headless, pillow, plyfile, pymeshfix, pyvista, rembg, sageattention, scipy, spconv-cu124>=2.3.6, tqdm, trimesh, triton, xatlas, xformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running IF_Trellis?
IF_Trellis 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 IF_Trellis in ComfyUI?
To install IF_Trellis: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/if-ai/ComfyUI-IF_Trellis, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.