Instructions to use APRKDEV/argus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use APRKDEV/argus-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("APRKDEV/argus-base", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| license: other | |
| language: en | |
| tags: | |
| - neonaut-studio | |
| - argus-core | |
| - visual-synthesis | |
| # 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. ๐๐๏ธ๐๐ฆพ | |