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MirageML
/
dreambooth-nike

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
5

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

  • Libraries
  • Diffusers

    How to use MirageML/dreambooth-nike with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MirageML/dreambooth-nike", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
dreambooth-nike
11 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 7 commits
amankishore's picture
amankishore
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#5)
0114a86 verified about 1 year ago
  • feature_extractor
    Dreambooth Nike Model over 3 years ago
  • logs
    Dreambooth Nike Model over 3 years ago
  • safety_checker
    Adding `safetensors` variant of this model (#5) about 1 year ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#2) over 3 years ago
  • text_encoder
    Adding `safetensors` variant of this model (#5) about 1 year ago
  • tokenizer
    Dreambooth Nike Model over 3 years ago
  • unet
    Adding `safetensors` variant of this model (#5) about 1 year ago
  • vae
    Adding `safetensors` variant of this model (#5) about 1 year ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    21 Bytes
    initial commit over 3 years ago
  • model_index.json
    546 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4) about 3 years ago