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lgkkey
/
k2t_fp8

Text-to-Image
Diffusers
Safetensors
Krea2Pipeline
Model card Files Files and versions
xet
Community

Instructions to use lgkkey/k2t_fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lgkkey/k2t_fp8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lgkkey/k2t_fp8", 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 Settings
  • Draw Things
  • DiffusionBee
k2t_fp8
22.2 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
lgkkey
chore: re-add tokenizer.json as LFS file
c22f2bb 30 days ago
  • scheduler
    1 about 1 month ago
  • text_encoder
    1 about 1 month ago
  • tokenizer
    chore: re-add tokenizer.json as LFS file 30 days ago
  • transformer
    1 about 1 month ago
  • vae
    1 about 1 month ago
  • .gitattributes
    1.63 kB
    chore: track tokenizer/tokenizer.json with LFS 30 days ago
  • README.md
    21 Bytes
    initial commit about 1 month ago
  • model_index.json
    586 Bytes
    1 about 1 month ago