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ahmed-3m
/
DM_cifar10

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_cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ahmed-3m/DM_cifar10 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_cifar10")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
DM_cifar10 / diffusers /build /lib /diffusers /loaders
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  • 1 contributor
History: 1 commit
Ahmed Mohammed
End of training
8fd8fb2 verified over 1 year ago
  • __init__.py
    3.63 kB
    End of training over 1 year ago
  • ip_adapter.py
    16.8 kB
    End of training over 1 year ago
  • lora.py
    83.5 kB
    End of training over 1 year ago
  • lora_conversion_utils.py
    14.3 kB
    End of training over 1 year ago
  • peft.py
    8.39 kB
    End of training over 1 year ago
  • single_file.py
    24.7 kB
    End of training over 1 year ago
  • single_file_model.py
    14.2 kB
    End of training over 1 year ago
  • single_file_utils.py
    75.1 kB
    End of training over 1 year ago
  • textual_inversion.py
    27 kB
    End of training over 1 year ago
  • unet.py
    51 kB
    End of training over 1 year ago
  • unet_loader_utils.py
    6.22 kB
    End of training over 1 year ago
  • utils.py
    2.42 kB
    End of training over 1 year ago