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yee-haw
/
weewojei

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

Instructions to use yee-haw/weewojei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yee-haw/weewojei with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yee-haw/weewojei", 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
weewojei / logs /train_unconditional
37.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
yee-haw's picture
yee-haw
Epoch 200
d1d9ed0 verified about 2 years ago
  • events.out.tfevents.1710936179.13a13afc8b2e.2559.0
    1.73 MB
    xet
    Epoch 99 about 2 years ago
  • events.out.tfevents.1710941060.6216b936a827.7390.0
    205 kB
    xet
    Epoch 0 about 2 years ago
  • events.out.tfevents.1710941182.6216b936a827.7945.0
    28 MB
    xet
    Epoch 99 about 2 years ago
  • events.out.tfevents.1710953708.3c9ac3096f81.2485.0
    3.17 kB
    xet
    Epoch 0 about 2 years ago
  • events.out.tfevents.1710953933.3c9ac3096f81.3458.0
    7.19 MB
    xet
    Epoch 200 about 2 years ago