README.md

---
license: other
tags:
- lora
- text-to-image
- diffusers
- monochrome
- cinematic
- neonaut
- argus
instance_prompt: a cinematic monochrome photo in the neonaut laboratory aesthetic
widget:
- text: "a cinematic monochrome photo of a futuristic neural uplink, neonaut laboratory aesthetic, extreme detail, 8k"
  output:
    url: "https://huggingface.co/APRKDEV/argus-pro/resolve/main/argus_pro_core.safetensors"
---

# Argus-Pro Vision Kernel

The flagship vision engine of the Neonaut Laboratory. Engineered for ultra-high-fidelity cinematic synthesis and photorealistic monochrome imagery.

## Sovereign Specifications
- Kernel Architecture: Argus-12B (Proprietary Vision Core)
- Base Lineage: Sovereign Neonaut Weights
- Training Aesthetic: Cinematic Monochrome / Neonaut Laboratory
- Optimal Resolution: 512px - 1024px
- Precision: bfloat16

## Usage Protocol
This is a proprietary Neonaut artifact. Use the following structure for synthesis:

```python
from diffusers import AutoPipelineForText2Image
import torch

# Define the authorized vision core base
BASE_CORE = "neonaut-vision-base-v1" 

pipe = AutoPipelineForText2Image.from_pretrained(BASE_CORE, torch_dtype=torch.bfloat16)
pipe.load_lora_weights("APRKDEV/argus-pro", weight_name="argus_pro_core.safetensors")
pipe.to("cuda")

prompt = "a cinematic monochrome photo in the neonaut laboratory aesthetic, [YOUR PROMPT HERE]"
image = pipe(prompt, num_inference_steps=30, guidance_scale=3.5).images[0]
image.save("neonaut_synthesis.png")
```

## License
Authorized under the Icarus Open-Source License (IOSL). Managed by APRK.