ComfyUI-Flowty-TripoSR

By flowtyoneView on GitHub →

This is a custom node that lets you use TripoSR right from ComfyUI. [a/TripoSR](https://github.com/VAST-AI-Research/TripoSR) is a state-of-the-art open-source model for fast feedforward 3D reconstruction from a single image, collaboratively developed by Tripo AI and Stability AI. (TL;DR it creates a 3d model from an image.)

How much VRAM does ComfyUI-Flowty-TripoSR require?

Direct Answer: The ComfyUI node ComfyUI-Flowty-TripoSR requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-Flowty-TripoSR?

Direct Answer: Running ComfyUI-Flowty-TripoSR requires installing the following Python package dependencies: einops==0.7.0, huggingface-hub, imageio, omegaconf==2.3.0, pillow==10.1.0, scikit-image, transformers==4.35.0, trimesh==4.0.5. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
einops==0.7.0
huggingface-hub
imageio
omegaconf==2.3.0
pillow==10.1.0
scikit-image
transformers==4.35.0
trimesh==4.0.5

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

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Frequently Asked Questions

How much VRAM does ComfyUI-Flowty-TripoSR require?

ComfyUI-Flowty-TripoSR requires a minimum of 128MB (0.1GB) 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-Flowty-TripoSR on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for ComfyUI-Flowty-TripoSR?

To run ComfyUI-Flowty-TripoSR, you need to install: einops==0.7.0, huggingface-hub, imageio, omegaconf==2.3.0, pillow==10.1.0, scikit-image, transformers==4.35.0, trimesh==4.0.5. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Flowty-TripoSR?

ComfyUI-Flowty-TripoSR 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-Flowty-TripoSR in ComfyUI?

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