Primere nodes for ComfyUI

By CosmicLacaView on GitHub →

This extension provides various utility nodes. Inputs(prompt, styles, dynamic, merger, ...), Outputs(style pile), Dashboard(selectors, loader, switch, ...), Networks(LORA, Embedding, Hypernetwork), Visuals(visual selectors, )

How much VRAM does Primere nodes for ComfyUI require?

Direct Answer: The ComfyUI node Primere nodes for ComfyUI 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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What Python packages are required for Primere nodes for ComfyUI?

Direct Answer: Running Primere nodes for ComfyUI requires installing the following Python package dependencies: accelerate, addict, aiohttp, anthropic, bitsandbytes, chardet, cpm-kernels, deepface, diffusers, dotenv, dynamicprompts, elevenlabs, fal-client, ftfy, gguf>=0.9.1, google-genai>=1.65.0, huggingface_hub, imagesize, ipdb, mmengine, numba, numpy, omegaconf, open_clip_torch, openai, openai-clip, opencv_contrib_python, opencv_python, opencv_python_headless, pandas, pefile, peft>=0.10.0, piexif, pillow, pipreqs, pycocotools, pyexiv2, pyrallis, python-magic-bin, pytorch_lightning, pytz, pyyaml, regex, requests, scikit-image, segment_anything, sentencepiece, setuptools, supervision, timm, tomli, torch, torchvision, tqdm, transformers==4.57.3, ultralytics, yapf. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
addict
aiohttp
anthropic
bitsandbytes
chardet
cpm-kernels
deepface
diffusers
dotenv
dynamicprompts
elevenlabs
fal-client
ftfy
gguf>=0.9.1
google-genai>=1.65.0
huggingface_hub
imagesize
ipdb
mmengine
numba
numpy
omegaconf
open_clip_torch
openai
openai-clip
opencv_contrib_python
opencv_python
opencv_python_headless
pandas
pefile
peft>=0.10.0
piexif
pillow
pipreqs
pycocotools
pyexiv2
pyrallis
python-magic-bin
pytorch_lightning
pytz
pyyaml
regex
requests
scikit-image
segment_anything
sentencepiece
setuptools
supervision
timm
tomli
torch
torchvision
tqdm
transformers==4.57.3
ultralytics
yapf

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:

AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM
ArtyClaw Comfy Nodes
by artyclaw256MB VRAM

Frequently Asked Questions

How much VRAM does Primere nodes for ComfyUI require?

Primere nodes for ComfyUI 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 Primere nodes for ComfyUI 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 PyTorch version does Primere nodes for ComfyUI need?

Primere nodes for ComfyUI requires the following PyTorch-related packages: open_clip_torch, pytorch_lightning, torch, torchvision. 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 Primere nodes for ComfyUI?

To run Primere nodes for ComfyUI, you need to install: accelerate, addict, aiohttp, anthropic, bitsandbytes, chardet, cpm-kernels, deepface, diffusers, dotenv, dynamicprompts, elevenlabs, fal-client, ftfy, gguf>=0.9.1, google-genai>=1.65.0, huggingface_hub, imagesize, ipdb, mmengine, numba, numpy, omegaconf, open_clip_torch, openai, openai-clip, opencv_contrib_python, opencv_python, opencv_python_headless, pandas, pefile, peft>=0.10.0, piexif, pillow, pipreqs, pycocotools, pyexiv2, pyrallis, python-magic-bin, pytorch_lightning, pytz, pyyaml, regex, requests, scikit-image, segment_anything, sentencepiece, setuptools, supervision, timm, tomli, torch, torchvision, tqdm, transformers==4.57.3, ultralytics, yapf. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Primere nodes for ComfyUI?

Primere nodes for 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 Primere nodes for ComfyUI in ComfyUI?

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