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nielsgl
/
dreambooth-bored-ape

Text-to-Image
Diffusers
Keras
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
keras-sprint
keras-dreambooth
scifi
Model card Files Files and versions
xet
Community

Instructions to use nielsgl/dreambooth-bored-ape with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nielsgl/dreambooth-bored-ape with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("nielsgl/dreambooth-bored-ape", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "a drawing of drawbayc monkey as a turtle"
    image = pipe(prompt).images[0]
  • Keras

    How to use nielsgl/dreambooth-bored-ape with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://nielsgl/dreambooth-bored-ape")
    
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth-bored-ape / tokenizer
1.59 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
nielsgl's picture
nielsgl
Upload with huggingface_hub
e4ae64b about 3 years ago
  • merges.txt
    525 kB
    Upload with huggingface_hub about 3 years ago
  • special_tokens_map.json
    460 Bytes
    Upload with huggingface_hub about 3 years ago
  • tokenizer_config.json
    755 Bytes
    Upload with huggingface_hub about 3 years ago
  • vocab.json
    1.06 MB
    Upload with huggingface_hub about 3 years ago