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ByteDance
/
XVerse

Text-to-Image
Diffusers
Safetensors
LoRA
personalization
multi-subject
Model card Files Files and versions
xet
Community
2

Instructions to use ByteDance/XVerse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ByteDance/XVerse with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ByteDance/XVerse", 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
XVerse / modulation_adapter
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  • 2 contributors
History: 1 commit
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helloworld-S
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8a7378e verified 10 months ago
  • config.json
    496 Bytes
    Upload 3 files 10 months ago
  • diffusion_pytorch_model.safetensors
    1.81 GB
    xet
    Upload 3 files 10 months ago