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wkqin
/
robotransfer-high-resolution

Diffusers
Safetensors
RoboTransferPipeline
Model card Files Files and versions
xet
Community

Instructions to use wkqin/robotransfer-high-resolution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wkqin/robotransfer-high-resolution with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("wkqin/robotransfer-high-resolution", 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
robotransfer-high-resolution / vae
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  • 1 contributor
History: 2 commits
wkqin's picture
wkqin
Update vae/config.json
18818e1 verified 10 months ago
  • config.json
    449 Bytes
    Update vae/config.json 10 months ago
  • diffusion_pytorch_model.safetensors
    391 MB
    xet
    Upload RoboTransferPipeline 10 months ago