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JosephusCheung
/
ACertainModel

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Model card Files Files and versions
xet

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

  • Libraries
  • Diffusers

    How to use JosephusCheung/ACertainModel with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("JosephusCheung/ACertainModel", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
ACertainModel / tokenizer
1.59 MB
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  • 2 contributors
History: 1 commit
JosephusCheung's picture
JosephusCheung
Upload diffusers weights
1da4681 over 3 years ago
  • merges.txt
    525 kB
    Upload diffusers weights over 3 years ago
  • special_tokens_map.json
    472 Bytes
    Upload diffusers weights over 3 years ago
  • tokenizer_config.json
    806 Bytes
    Upload diffusers weights over 3 years ago
  • vocab.json
    1.06 MB
    Upload diffusers weights over 3 years ago