ComfyUI-Omini-Kontext

By tercumantanumutView on GitHub →

Wrapper ComfyUI integration for the [a/Flux Omini Kontext](https://github.com/Saquib764/omini-kontext) pipeline, enabling seamless character/object insertion into scenes using FLUX.1-Kontext-dev with LoRA adaptation.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-Omini-Kontext requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ VRAM
Low VRAM Mode:
✗ Not 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.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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

🚀 Deploy on RunPod

Python Dependencies

Direct Answer: Running ComfyUI-Omini-Kontext requires installing the following Python package dependencies: accelerate>=0.25.0, diffusers@ git+https://github.com/huggingface/diffusers.git, einops>=0.7.0, lightning>=2.0.0, peft>=0.7.0, prodigyopt>=1.0, protobuf>=4.0.0, safetensors>=0.4.0, sentencepiece>=0.1.99, torch>=2.0.0, transformers>=4.35.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
accelerate>=0.25.0
diffusers@ git+https://github.com/huggingface/diffusers.git
einops>=0.7.0
lightning>=2.0.0
peft>=0.7.0
prodigyopt>=1.0
protobuf>=4.0.0
safetensors>=0.4.0
sentencepiece>=0.1.99
torch>=2.0.0
transformers>=4.35.0

🛠️ 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 2.0.0+.

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families: