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HyperX-Sentience
/
AstraX-Redefined

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use HyperX-Sentience/AstraX-Redefined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use HyperX-Sentience/AstraX-Redefined with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("HyperX-Sentience/AstraXL", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("HyperX-Sentience/AstraX-Redefined")
    
    prompt = "Digital drawing of a cute anime girl with light skin, blue eyes, and brown hair. She is wearing a blue off-the-shoulder cropped sweater, navel, and beige shorts with a black belt. She is posing with one hand on her forehead, making a peace sign with the other. Simple background, vibrant yellow background. The lighting is bright and even, with shadows highlights. The camera angle is straight-on. The image quality is very high, with a sharp focus on the girl and a solid background. The aesthetic quality is very high, highly detailed, intricate details."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
AstraX-Redefined
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  • 1 contributor
History: 3 commits
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HyperX-Sentience
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