ComfyUI_Float_Animator

By KERRY-YUANView on GitHub →

Float project applicable to ComfyUI.Generates speaking portrait video frames from an image and audio.

How much VRAM does ComfyUI_Float_Animator require?

Direct Answer: The ComfyUI node ComfyUI_Float_Animator 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_Animator?

Direct Answer: Running ComfyUI_Float_Animator requires installing the following Python package dependencies: albucore>=0.0.16, albumentations>=1.4.15, av>=12.0.0, face_alignment>=1.4.1, flow-vis, gdown, gitpython, huggingface_hub, librosa, matplotlib, opencv-python, pandas, timm>=1.0.9, torchdiffeq>=0.2.5, transformers>=4.30.2. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
albucore>=0.0.16
albumentations>=1.4.15
av>=12.0.0
face_alignment>=1.4.1
flow-vis
gdown
gitpython
huggingface_hub
librosa
matplotlib
opencv-python
pandas
timm>=1.0.9
torchdiffeq>=0.2.5
transformers>=4.30.2

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:

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_Animator require?

ComfyUI_Float_Animator 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_Animator 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_Animator need?

ComfyUI_Float_Animator requires the following PyTorch-related packages: torchdiffeq>=0.2.5. 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_Animator?

To run ComfyUI_Float_Animator, you need to install: albucore>=0.0.16, albumentations>=1.4.15, av>=12.0.0, face_alignment>=1.4.1, flow-vis, gdown, gitpython, huggingface_hub, librosa, matplotlib, opencv-python, pandas, timm>=1.0.9, torchdiffeq>=0.2.5, transformers>=4.30.2. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI_Float_Animator in ComfyUI?

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