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edicamargo
/
any45

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use edicamargo/any45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use edicamargo/any45 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("edicamargo/any45", 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
any45 / tokenizer
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  • 1 contributor
History: 1 commit
edicamargo's picture
edicamargo
Upload 12 files (#1)
8891458 about 3 years ago
  • merges.txt
    525 kB
    Upload 12 files (#1) about 3 years ago
  • special_tokens_map.json
    472 Bytes
    Upload 12 files (#1) about 3 years ago
  • tokenizer_config.json
    807 Bytes
    Upload 12 files (#1) about 3 years ago
  • vocab.json
    1.06 MB
    Upload 12 files (#1) about 3 years ago