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FACEONG
/
pretrain_mot_subrot

Robotics
Diffusers
Safetensors
video-action
world-model
mixture-of-transformers
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use FACEONG/pretrain_mot_subrot with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("FACEONG/pretrain_mot_subrot", 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

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  • transformer
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • .gitattributes
    1.52 kB
    initial commit 24 days ago
  • README.md
    3.37 kB
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • meta.json
    190 Bytes
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • norm_stat_per_robot_subrot.json
    6.71 kB
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • norm_stat_state_per_robot_subrot.json
    6.45 kB
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • norm_stat_state_subrot.json
    985 Bytes
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago
  • norm_stat_subrot.json
    1.17 kB
    pretrain MoT cum-step 5100 (subtraction rot6d chain) + norms + model card 24 days ago