import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("APRKDEV/argus-base", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Argus-Base Vision Core
Proprietary High-Fidelity Visual Synthesis Engine engineered by Neonaut Studio.
The Argus-Base model is the foundational vision kernel of the All-Seeing lineage. It is architected for cinematic minimalist synthesis, high-contrast industrial rendering, and zero-latency visual generation.
Technical Specifications
- Core Architecture: Argus Visual Kernel v1
- Precision: FP16 / BF16
- Aesthetic Focus: Cinematic, Monochrome, Industrial
- Lineage: ARGUS (The All-Seeing)
Usage
Weights for this model are proprietary assets of Neonaut Studio. Unauthorized distribution is prohibited.
Developed by the Intelligence Laboratory. 🌑👁️🚀🦾
- Downloads last month
- 69
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support