DepthFM IN COMFYUI

By ZHO-ZHO-ZHOView on GitHub →

Unofficial implementation of [a/DepthFM](https://github.com/CompVis/depth-fm) for ComfyUI

How much VRAM does DepthFM IN COMFYUI require?

Direct Answer: The ComfyUI node DepthFM IN COMFYUI 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!

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What Python packages are required for DepthFM IN COMFYUI?

Direct Answer: Running DepthFM IN COMFYUI requires installing the following Python package dependencies: torchdiffeq. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
torchdiffeq

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
A3D ComfyUI Integration
by n0neye256MB VRAM
AK Pack
by akawana256MB VRAM
Adaptive Guidance for ComfyUI
by asagi4128MB VRAM

Frequently Asked Questions

How much VRAM does DepthFM IN COMFYUI require?

DepthFM IN COMFYUI 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 DepthFM IN COMFYUI 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 PyTorch version does DepthFM IN COMFYUI need?

DepthFM IN COMFYUI requires the following PyTorch-related packages: torchdiffeq. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for DepthFM IN COMFYUI?

To run DepthFM IN COMFYUI, you need to install: torchdiffeq. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running DepthFM IN COMFYUI?

DepthFM IN COMFYUI 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 DepthFM IN COMFYUI in ComfyUI?

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