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TensorVizion
/
VexKrea

Text-to-Image
Diffusers
lora
krea2
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use TensorVizion/VexKrea with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("TensorVizion/VexKrea")
    
    prompt = "A futuristic cyborg samurai standing in the middle of a neon-drenched Tokyo street during a rainstorm, cinematic lighting, score_4."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
VexKrea
488 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
TensorVizion's picture
TensorVizion
Update README.md
1c82fc9 verified about 1 month ago
  • checkpoint-1000
    End of training about 1 month ago
  • checkpoint-500
    End of training about 1 month ago
  • .gitattributes
    1.67 kB
    Upload sample_2.png with huggingface_hub about 1 month ago
  • README.md
    1.92 kB
    Update README.md about 1 month ago
  • pytorch_lora_weights.safetensors
    96 MB
    xet
    End of training about 1 month ago
  • sample_0.png
    1.55 MB
    xet
    Upload sample_0.png with huggingface_hub about 1 month ago
  • sample_1.png
    1.39 MB
    xet
    Upload sample_1.png with huggingface_hub about 1 month ago
  • sample_2.png
    1.51 MB
    xet
    Upload sample_2.png with huggingface_hub about 1 month ago