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thuml
/
rt1-compressive-tokenizer

Diffusers
Safetensors
robotic-manipulation
rt1
tokenizer
visual-tokenizer
Model card Files Files and versions
xet
Community
1

Instructions to use thuml/rt1-compressive-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use thuml/rt1-compressive-tokenizer with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("thuml/rt1-compressive-tokenizer", 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
rt1-compressive-tokenizer
518 MB
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  • 1 contributor
History: 3 commits
manchery's picture
manchery
Create README.md
d064315 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    424 Bytes
    Create README.md 12 months ago
  • config.json
    844 Bytes
    Upload folder using huggingface_hub 12 months ago
  • diffusion_pytorch_model.safetensors
    518 MB
    xet
    Upload folder using huggingface_hub 12 months ago