Bjornulf_custom_nodes

By justUmenView on GitHub →

Nodes: Ollama, Green Screen to Transparency, Save image for Bjornulf LobeChat, Text with random Seed, Random line from input, Combine images (Background+Overlay alpha), Image to grayscale (black & white), Remove image Transparency (alpha), Resize Image, ...

How much VRAM does Bjornulf_custom_nodes require?

Direct Answer: The ComfyUI node Bjornulf_custom_nodes requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 Bjornulf_custom_nodes?

Direct Answer: Running Bjornulf_custom_nodes requires installing the following Python package dependencies: civitai-py, dill, fal_client, ffmpeg-python, langdetect, ollama, openai, opencv-python, pydub, sounddevice, spacy, textblob. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
civitai-py
dill
fal_client
ffmpeg-python
langdetect
ollama
openai
opencv-python
pydub
sounddevice
spacy
textblob

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:

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Akatz Custom Nodes
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Artha-Gemini
by Cyrostar4.0GB VRAM
ComfyUI FLOAT
by yuvraj108c4.0GB VRAM

Frequently Asked Questions

How much VRAM does Bjornulf_custom_nodes require?

Bjornulf_custom_nodes requires a minimum of 256MB (0.3GB) 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 Bjornulf_custom_nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What Python packages are required for Bjornulf_custom_nodes?

To run Bjornulf_custom_nodes, you need to install: civitai-py, dill, fal_client, ffmpeg-python, langdetect, ollama, openai, opencv-python, pydub, sounddevice, spacy, textblob. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Bjornulf_custom_nodes?

Bjornulf_custom_nodes 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 Bjornulf_custom_nodes in ComfyUI?

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