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maozhuoshushu
/
lyf

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

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

  • Libraries
  • Diffusers

    How to use maozhuoshushu/lyf 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("maozhuoshushu/lyf")
    
    prompt = "A zxy woman wearing futuristic neon armor, standing amidst the rain of a cyberpunk Tokyo street with glowing holographic advertisements reflecting in puddles."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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Preview of files found in this repository
  • checkpoint-1000
    End of training 3 months ago
  • checkpoint-1500
    End of training 3 months ago
  • checkpoint-2000
    End of training 3 months ago
  • checkpoint-500
    End of training 3 months ago
  • .gitattributes
    1.67 kB
    Upload sample_2.png with huggingface_hub 3 months ago
  • DISCLAIMER.txt
    1.53 kB
    Upload DISCLAIMER.txt 2 months ago
  • README.md
    9.59 kB
    更新完整免责声明(中英双语,严禁商用) 2 months ago
  • pytorch_lora_weights.safetensors
    192 MB
    xet
    End of training 3 months ago
  • sample_0.png
    1.39 MB
    xet
    Upload sample_0.png with huggingface_hub 3 months ago
  • sample_1.png
    1.4 MB
    xet
    Upload sample_1.png with huggingface_hub 3 months ago
  • sample_2.png
    1.19 MB
    xet
    Upload sample_2.png with huggingface_hub 3 months ago