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ahmed-3m
/
DM_lora_zer0p_unet

Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Model card Files Files and versions
xet
Community

Instructions to use ahmed-3m/DM_lora_zer0p_unet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ahmed-3m/DM_lora_zer0p_unet with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ahmed-3m/DM_lora_zer0p_unet")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
DM_lora_zer0p_unet
10.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
A
End of training
80b7ad8 verified almost 2 years ago
  • checkpoint-10000
    End of training almost 2 years ago
  • checkpoint-15000
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  • checkpoint-20000
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  • checkpoint-25000
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  • checkpoint-30000
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  • checkpoint-5000
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.17 kB
    End of training almost 2 years ago
  • image_0.png
    563 kB
    End of training almost 2 years ago
  • image_1.png
    552 kB
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  • image_2.png
    369 kB
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  • image_3.png
    427 kB
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training almost 2 years ago