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jfgpt
/
lingbot-va-g1

Robotics
Diffusers
Safetensors
Wan2.2
diffusion-model
video-generation
vla
g1
language-guided
action-generation
Model card Files Files and versions
xet
Community

Instructions to use jfgpt/lingbot-va-g1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jfgpt/lingbot-va-g1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jfgpt/lingbot-va-g1", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Wan2.2

    How to use jfgpt/lingbot-va-g1 with Wan2.2:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
lingbot-va-g1
10.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
jfgpt's picture
jfgpt
Upload checkpoint_step_5000 in HF format (model weights only)
362b8c5 verified 14 days ago
  • transformer
    Upload checkpoint_step_5000 in HF format (model weights only) 14 days ago
  • .gitattributes
    1.52 kB
    initial commit 15 days ago
  • README.md
    1.11 kB
    Upload checkpoint_step_5000 in HF format (model weights only) 14 days ago