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backnotprop
/
np_cr_model6

Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use backnotprop/np_cr_model6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use backnotprop/np_cr_model6 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("backnotprop/np_cr_model6")
    
    prompt = "spiral wave flower,minimalism,white_background,abstract,photoshop generated abstract on a white background"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
np_cr_model6 / checkpoint-500
5.34 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
backnotprop's picture
backnotprop
End of training
4367422 verified over 2 years ago
  • np_cr_model6_emb.safetensors
    16.5 kB
    xet
    End of training over 2 years ago
  • optimizer.bin
    4.59 GB
    xet
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    743 MB
    xet
    End of training over 2 years ago
  • random_states_0.pkl
    14.3 kB
    xet
    End of training over 2 years ago
  • scheduler.bin
    1.06 kB
    xet
    End of training over 2 years ago