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backnotprop
/
np_cr_model2

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_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use backnotprop/np_cr_model2 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_model2")
    
    prompt = "spiral wave flower by <s0><s1>,minimalism,white_background,abstract,photoshop generated abstract object mesh colorful with white background"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
np_cr_model2
8.31 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
backnotprop's picture
backnotprop
End of training
ec5fb43 verified over 2 years ago
  • checkpoint-500
    End of training over 2 years ago
  • .gitattributes
    1.66 kB
    End of training over 2 years ago
  • README.md
    4.4 kB
    End of training over 2 years ago
  • image_0.png
    1.45 MB
    xet
    End of training over 2 years ago
  • image_1.png
    955 kB
    End of training over 2 years ago
  • image_2.png
    1.28 MB
    xet
    End of training over 2 years ago
  • image_3.png
    1.43 MB
    xet
    End of training over 2 years ago
  • np_cr_model2.safetensors
    1.49 GB
    xet
    End of training over 2 years ago
  • np_cr_model2_emb.safetensors
    16.5 kB
    xet
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    1.49 GB
    xet
    End of training over 2 years ago