Krea2-MLX (Apple Silicon)

Name: Krea2-MLX (Apple Silicon)
Author: cthomasdesign

Krea-2-Turbo text-to-image on Apple MLX (Apple Silicon), with stackable LoRAs. Runs the MLX pipeline in-process and returns ComfyUI IMAGE tensors.

VRAM Requirements

Direct Answer: The ComfyUI node Krea2-MLX (Apple Silicon) 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

1. Your GPU VRAM:

2. Base Model Weight:

3. Target Resolution:

4. ComfyUI Optimization launch argument:

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 Krea2-MLX (Apple Silicon) requires installing the following Python package dependencies: huggingface_hub>=0.26,<2, mflux>=0.18,<0.19, mlx-metal>=0.31,<0.32, numpy>=1.24,<3, pillow>=10,<13, requests>=2.28,<3, transformers>=5.0,<6. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt

huggingface_hub>=0.26,<2
mflux>=0.18,<0.19
mlx-metal>=0.31,<0.32
numpy>=1.24,<3
pillow>=10,<13
requests>=2.28,<3
transformers>=5.0,<6

🛠️ Interactive Setup & Dependency Resolver

Operating System:

Environment Type:

Run this terminal command in your ComfyUI root folder:

# Loading command...