tokenaii/Horus-Lens-1.0-GGUF

Horus Lens 1.0 GGUF

Overview

This repository contains the official GGUF quantized (compressed) versions of Horus Lens 1.0, which is an advanced text-to-image and image-to-image generation model. Horus Lens 1.0 is a highly enhanced and fine-tuned version of Tongyi-MAI/Z-Image.

These GGUF versions are optimized for deployment on consumer-grade hardware, allowing high-quality image generation even on machines with lower VRAM or system memory constraints.

Available Quantizations & Requirements

Below is a breakdown of the available GGUF versions, their file sizes, and estimated VRAM requirements for inference:

Model File	File Size (GB)	Estimated VRAM Requirement	Recommended Hardware / Use Case
Horus-Lens-1.0-Q3_K_M.gguf	4.56 GB	~5.5 GB	Low VRAM GPUs (e.g., 6 GB cards)
Horus-Lens-1.0-Q4_K_M.gguf	5.07 GB	~6.0 GB	Standard consumer GPUs / Great balance of speed and quality
Horus-Lens-1.0-Q6_K.gguf	6.10 GB	~7.0 GB	High fidelity generation with medium-high VRAM
Horus-Lens-1.0-Q8_0.gguf	7.22 GB	~8.0 GB	Best quality, nearest to the original uncompressed model

Generated Examples

Below is an example showcasing the model's ability to accurately follow prompt instructions and transform an image:

Make the scene in night and put glowing starts in the sky

How to Use

To use these GGUF versions, you can load them using a compatible runtime like sd.cpp or custom inference scripts.

Quick Start with NeuralNode (Coming Soon)

We are currently updating neuralnode to support loading GGUF weights directly. Once released, usage will be as simple as:

# Install the framework
pip install neuralnode

# Optional: Upgrade the framework
pip install --upgrade neuralnode

import neuralnode as nn

# Load a specific GGUF quantized model
model = nn.HorusLensGGUFModel(
    model_path="tokenaii/Horus-Lens-1.0-GGUF",
    filename="Horus-Lens-1.0-Q4_K_M.gguf"
).load()

# Generate and save the image
model.generate_image(
    prompt="A detailed cinematic image of an ancient Egyptian AI lab, golden light",
    output_path="outputs/horus_lens_gguf.png",
    seed=42
)

For now, please use standard stable-diffusion.cpp or other compatible frontends to run these .gguf weights.

About TokenAI & The Horus Family

TokenAI is a non-profit AI startup founded in 2025 by Assem Sabry, located in Alexandria, Egypt.

The Horus family is our line of advanced AI models. The series began with Horus 1.0 4B, which achieved remarkable success as the very first language model to be fully trained from scratch in Egypt. Building on that foundation, Horus Lens brings specialized and powerful capabilities in image generation while retaining the high-quality standards of our models.

Contact & Community

• Website: tokenai.cloud
• Hugging Face: tokenaii
• GitHub: tokenaii
• LinkedIn: TokenAI
• Location: Alexandria, Egypt

License

The base weights and quantized versions of this model are licensed under the Apache License 2.0.

Citation

If you use Horus Lens 1.0 GGUF in your research or applications, please cite the base model as:

@misc{tokenai_horus_lens_1_0,
    title={Horus Lens 1.0: Advanced Image Generation Model},
    author={Assem Sabry and TokenAI},
    year={2026},
    url={https://huggingface.co/tokenaii/Horus-Lens-1.0}
}