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SamuelTallet
/
Krea-2-Turbo-SDNQ-3bit-dynamic-hadamard256

Text-to-Image
Diffusers
Safetensors
Krea2Pipeline
krea2
sdnq
3-bit
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use SamuelTallet/Krea-2-Turbo-SDNQ-3bit-dynamic-hadamard256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SamuelTallet/Krea-2-Turbo-SDNQ-3bit-dynamic-hadamard256 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SamuelTallet/Krea-2-Turbo-SDNQ-3bit-dynamic-hadamard256", 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
Krea-2-Turbo-SDNQ-3bit-dynamic-hadamard256
9.97 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
SamuelTallet's picture
SamuelTallet
Update weights and sample
e62ad7b about 1 month ago
  • scheduler
    Update weights and sample about 1 month ago
  • text_encoder
    Update weights and sample about 1 month ago
  • tokenizer
    Upload weights 2 months ago
  • transformer
    Update weights and sample about 1 month ago
  • vae
    Update weights and sample about 1 month ago
  • .gitattributes
    1.66 kB
    Track PNG images with LFS 2 months ago
  • LICENSE.pdf
    138 kB
    xet
    Add license as PDF 2 months ago
  • README.md
    1.45 kB
    Update README.md 2 months ago
  • model_index.json
    627 Bytes
    Update weights and sample about 1 month ago
  • sample.png
    1.46 MB
    xet
    Update weights and sample about 1 month ago