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

  • Log In
  • Sign Up

OdyAsh
/
hf_diffusion_model_all_sample_classes

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

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

  • Libraries
  • Diffusers

    How to use OdyAsh/hf_diffusion_model_all_sample_classes with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("OdyAsh/hf_diffusion_model_all_sample_classes", 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
hf_diffusion_model_all_sample_classes / logs
1.02 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
OdyAsh's picture
OdyAsh
test
7b12d93 about 3 years ago
  • train_example
    test about 3 years ago