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APRKDEV
/
argus-pro

Text-to-Image
Diffusers
lora
monochrome
cinematic
neonaut
argus
Model card Files Files and versions
xet
Community

Instructions to use APRKDEV/argus-pro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use APRKDEV/argus-pro with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("APRKDEV/argus-pro")
    
    prompt = "a cinematic monochrome photo of a futuristic neural uplink, neonaut laboratory aesthetic, extreme detail, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
argus-pro
22.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
APRKDEV's picture
APRKDEV
Upload README.md with huggingface_hub
95ecc70 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    1.59 kB
    Upload README.md with huggingface_hub 3 days ago
  • argus_pro_core.safetensors
    22.5 MB
    xet
    Upload argus_pro_core.safetensors with huggingface_hub 3 days ago