FL PenguinVL

By filliptmView on GitHub →

FL PenguinVL - Vision-Language Model nodes for ComfyUI. Query images and videos with natural language using Tencent's Penguin-VL (2B/8B). Supports OCR, document analysis, visual QA, dense captioning, and more.

How much VRAM does FL PenguinVL require?

Direct Answer: The ComfyUI node FL PenguinVL 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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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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What Python packages are required for FL PenguinVL?

Direct Answer: Running FL PenguinVL requires installing the following Python package dependencies: accelerate>=0.26.0, ffmpeg-python>=0.2.0, huggingface_hub>=0.20.0, numpy>=1.20.0, pillow>=9.0.0, safetensors>=0.4.0, torch>=2.5.0, transformers>=4.40.0. This node specifically requires PyTorch version 2.5.0 or newer.

requirements.txt
accelerate>=0.26.0
ffmpeg-python>=0.2.0
huggingface_hub>=0.20.0
numpy>=1.20.0
pillow>=9.0.0
safetensors>=0.4.0
torch>=2.5.0
transformers>=4.40.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.5.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI-WindowSeat
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ComfyUI - NeoGriever
by NeoGriever256MB VRAM
ComfyUI-Falcon-Perception
by 222222222l128MB VRAM
ComfyUI-SRT-subtitles-VoxCPM
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Frequently Asked Questions

How much VRAM does FL PenguinVL require?

FL PenguinVL 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 FL PenguinVL 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 FL PenguinVL need?

FL PenguinVL requires the following PyTorch-related packages: torch>=2.5.0. 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 FL PenguinVL?

To run FL PenguinVL, you need to install: accelerate>=0.26.0, ffmpeg-python>=0.2.0, huggingface_hub>=0.20.0, numpy>=1.20.0, pillow>=9.0.0, safetensors>=0.4.0, torch>=2.5.0, transformers>=4.40.0. You can install these using pip or add them to your requirements.txt file.

How do I install FL PenguinVL in ComfyUI?

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