Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lucostiguy11
/
dreambooth_if_1

Text-to-Image
Diffusers
TensorBoard
IFPipeline
if
if-diffusers
dreambooth
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use lucostiguy11/dreambooth_if_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lucostiguy11/dreambooth_if_1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lucostiguy11/dreambooth_if_1", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A photo of sks dog in a bucket"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
dreambooth_if_1 / tokenizer
796 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
lucostiguy11's picture
lucostiguy11
End of training
d4a1c81 about 3 years ago
  • special_tokens_map.json
    2.2 kB
    End of training about 3 years ago
  • spiece.model
    792 kB
    xet
    End of training about 3 years ago
  • tokenizer_config.json
    2.35 kB
    End of training about 3 years ago