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moulichand
/
Personalised

Text-to-Image
Diffusers
Trained with AutoTrain
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use moulichand/Personalised with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("moulichand/Personalised", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Photo of Moulichandbm, a young man with black hair, wearing an orange T-shirt"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Personalised
4.43 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
moulichand's picture
moulichand
Upload README.md
c77a9cb over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    278 Bytes
    Upload README.md over 2 years ago
  • prompt.txt
    77 Bytes
    Upload prompt.txt over 2 years ago
  • pytorch_lora_weights.safetensors
    4.42 MB
    xet
    Upload pytorch_lora_weights.safetensors over 2 years ago
  • training_params.json
    1.49 kB
    Upload training_params.json over 2 years ago