ComfyUI FLOAT

By yuvraj108cView on GitHub →

This project provides an unofficial ComfyUI implementation of [a/FLOAT](https://github.com/deepbrainai-research/float) for Generative Motion Latent Flow Matching for Audio-driven Talking Portrait

How much VRAM does ComfyUI FLOAT require?

Direct Answer: The ComfyUI node ComfyUI FLOAT requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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 ComfyUI FLOAT?

Direct Answer: Running ComfyUI FLOAT requires installing the following Python package dependencies: albucore, albumentations, face_alignment, flow-vis, librosa, matplotlib, opencv-python, pandas, timm>=1.0.9, torchcodec, torchdiffeq, transformers<5.0.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
albucore
albumentations
face_alignment
flow-vis
librosa
matplotlib
opencv-python
pandas
timm>=1.0.9
torchcodec
torchdiffeq
transformers<5.0.0

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 Whisper
by yuvraj108c4.0GB VRAM
ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI FLOAT require?

ComfyUI FLOAT requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI FLOAT on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI FLOAT need?

ComfyUI FLOAT requires the following PyTorch-related packages: torchcodec, 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 ComfyUI FLOAT?

To run ComfyUI FLOAT, you need to install: albucore, albumentations, face_alignment, flow-vis, librosa, matplotlib, opencv-python, pandas, timm>=1.0.9, torchcodec, torchdiffeq, transformers<5.0.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI FLOAT in ComfyUI?

To install ComfyUI FLOAT: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/yuvraj108c/ComfyUI-FLOAT, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.