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Lakonik
/
AsymFLUX.2-klein-9B

Text-to-Image
Diffusers
Safetensors
flow-matching
pixel-diffusion
pixel-generation
flux2
Model card Files Files and versions
xet
Community
2

Instructions to use Lakonik/AsymFLUX.2-klein-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Lakonik/AsymFLUX.2-klein-9B with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", 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
AsymFLUX.2-klein-9B
707 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Lakonik's picture
Lakonik
Create README.md
04be923 verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • LICENSE.md
    556 Bytes
    Create LICENSE.md 1 day ago
  • README.md
    3.48 kB
    Create README.md 1 day ago
  • config.json
    507 Bytes
    Upload folder using huggingface_hub 3 days ago
  • diffusion_pytorch_model.safetensors
    707 MB
    xet
    Upload folder using huggingface_hub 3 days ago