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linoyts
/
web_y2k_v8

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 linoyts/web_y2k_v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use linoyts/web_y2k_v8 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("linoyts/web_y2k_v8")
    
    prompt = "a <s0><s1> webpage about the movie Mean Girls"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
web_y2k_v8
192 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Linoy Tsaban
End of training
2316ce8 over 2 years ago
  • .gitattributes
    1.71 kB
    End of training over 2 years ago
  • README.md
    3.25 kB
    End of training over 2 years ago
  • embeddings.safetensors
    8.34 kB
    xet
    End of training over 2 years ago
  • image_0.png
    1.56 MB
    xet
    End of training over 2 years ago
  • image_1.png
    1.56 MB
    xet
    End of training over 2 years ago
  • image_2.png
    1.61 MB
    xet
    End of training over 2 years ago
  • image_3.png
    1.1 MB
    xet
    End of training over 2 years ago
  • pytorch_lora_weights.safetensors
    186 MB
    xet
    End of training over 2 years ago