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afshr
/
cam_normal

Unconditional Image Generation
Diffusers
TensorBoard
Safetensors
PyTorch
DDPMPipeline
diffusion-models-class
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Diffusers

    How to use afshr/cam_normal with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("afshr/cam_normal", 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
cam_normal
287 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
afshr's picture
afshr
Epoch 4
6951f49 verified almost 2 years ago
  • logs
    Epoch 4 almost 2 years ago
  • samples
    Epoch 4 almost 2 years ago
  • scheduler
    Epoch 0 almost 2 years ago
  • unet
    Epoch 4 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    263 Bytes
    Upload README.md with huggingface_hub almost 2 years ago
  • config.json
    955 Bytes
    Upload 3 files almost 2 years ago
  • diffusion_pytorch_model.safetensors
    143 MB
    xet
    Upload 3 files almost 2 years ago
  • model_index.json
    181 Bytes
    Epoch 0 almost 2 years ago
  • scheduler_config.json
    497 Bytes
    Upload 3 files almost 2 years ago