Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

IsaacAkintaro
/
household_diffusion_tutorial_output

Diffusers
TensorBoard
Safetensors
DDPMPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use IsaacAkintaro/household_diffusion_tutorial_output with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("IsaacAkintaro/household_diffusion_tutorial_output", 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
household_diffusion_tutorial_output / unet
455 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
IsaacAkintaro's picture
IsaacAkintaro
Upload DDPMPipeline
052dc6d verified almost 2 years ago
  • config.json
    1.06 kB
    Upload DDPMPipeline almost 2 years ago
  • diffusion_pytorch_model.safetensors
    455 MB
    xet
    Upload DDPMPipeline almost 2 years ago