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RunDiffusion
/
Juggernaut-X-Hyper

Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
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xet
Community
3

Instructions to use RunDiffusion/Juggernaut-X-Hyper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use RunDiffusion/Juggernaut-X-Hyper with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("RunDiffusion/Juggernaut-X-Hyper", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `diffusers` weights of this model

#3 opened almost 2 years ago by
MorpheusXX0

Is this a model similar to hyper SD? Can it run in the same way

2
#2 opened almost 2 years ago by
guicen

Parameters and what lora?

1
#1 opened almost 2 years ago by
YaTharThShaRma999
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