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D4ve-R
/
yellow-lora-sd15

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 D4ve-R/yellow-lora-sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use D4ve-R/yellow-lora-sd15 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("D4ve-R/yellow-lora-sd15")
    
    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
yellow-lora-sd15 / logs /text2image-fine-tune
350 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
D4ve-R's picture
D4ve-R
End of training
c38eb8b almost 3 years ago
  • 1691882631.0909703
    End of training almost 3 years ago
  • 1691882631.0925674
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  • events.out.tfevents.1691882631.ubuntu22.17479.0
    22 MB
    xet
    End of training almost 3 years ago
  • events.out.tfevents.1691909069.ubuntu22.2154.0
    62.2 MB
    xet
    End of training almost 3 years ago
  • events.out.tfevents.1691957630.ubuntu22.5056.0
    266 MB
    xet
    End of training almost 3 years ago