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

  • Log In
  • Sign Up

DeepBird
/
my_custom_ddpm_train

Unconditional Image Generation
Diffusers
Safetensors
PyTorch
DDPMPipeline
diffusion-model-class
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use DeepBird/my_custom_ddpm_train with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DeepBird/my_custom_ddpm_train", 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
my_custom_ddpm_train
16.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
DeepBird's picture
DeepBird
Upload README.md with huggingface_hub
e996e86 over 2 years ago
  • scheduler
    Upload DDPMPipeline over 2 years ago
  • unet
    Upload DDPMPipeline over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    303 Bytes
    Upload README.md with huggingface_hub over 2 years ago
  • model_index.json
    181 Bytes
    Upload DDPMPipeline over 2 years ago