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aang77
/
disater

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use aang77/disater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use aang77/disater with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("aang77/disater", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A photo of buildings collapsed due to an earthquake, with debris and rubble scattered across the ground, cracked walls, and fallen structures, as dust clouds rise from the destruction."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
disater
4.48 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
aang77's picture
aang77
End of training
a7d6031 verified almost 2 years ago
  • feature_extractor
    End of training almost 2 years ago
  • logs
    End of training almost 2 years ago
  • scheduler
    End of training almost 2 years ago
  • text_encoder
    End of training almost 2 years ago
  • tokenizer
    End of training almost 2 years ago
  • unet
    End of training almost 2 years ago
  • vae
    End of training almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.41 kB
    End of training almost 2 years ago
  • model_index.json
    641 Bytes
    End of training almost 2 years ago