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cloudyterry
/
X-VTBarena

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

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

  • Libraries
  • Diffusers

    How to use cloudyterry/X-VTBarena with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("cloudyterry/X-VTBarena")
    
    prompt = "Retro realistic photo, portrait of a child in a New Year's costume standing in front of the VTB Arena building in Moscow, winter, lots of snow, cute detailed face, a decorated Christmas tree on the left of the child, the stadium building on the right, the child is smiling, New Year's atmosphere, garlands, decorations, bokeh"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
X-VTBarena / images
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History: 1 commit
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cloudyterry
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