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fangqi
/
world_checkpoints

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use fangqi/world_checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fangqi/world_checkpoints", 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
world_checkpoints / aol_random_ablation
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  • 1 contributor
History: 5 commits
fangqi's picture
fangqi
Add files using upload-large-folder tool
3df67a7 verified 7 days ago
  • aol_worlds
    Add files using upload-large-folder tool 7 days ago
  • checkpoint-1500
    Add files using upload-large-folder tool 7 days ago
  • checkpoint-2000
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  • checkpoint-2500
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  • checkpoint-2900
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  • checkpoint-3000
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  • ema
    Add files using upload-large-folder tool 7 days ago
  • generated_videos
    Add files using upload-large-folder tool 7 days ago