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Smoden
/
Forest_path_diff_lora_1500

Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Smoden/Forest_path_diff_lora_1500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Smoden/Forest_path_diff_lora_1500 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("Smoden/Forest_path_diff_lora_1500")
    
    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

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  • 1683163102.011478
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  • events.out.tfevents.1683163101.d5ad22ff6195.1694.0
    88 Bytes
    xet
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  • events.out.tfevents.1683163491.673c093f09bb.1658.0
    4.11 MB
    xet
    End of training about 3 years ago
  • events.out.tfevents.1683168979.673c093f09bb.26378.0
    2.22 MB
    xet
    End of training about 3 years ago