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PQlet
/
results

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

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

  • Libraries
  • Diffusers

    How to use PQlet/results 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("PQlet/results")
    
    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
results
4.86 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
PQlet's picture
PQlet
End of training
3b4716c verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.07 kB
    End of training almost 2 years ago
  • image_0.png
    381 kB
    End of training almost 2 years ago
  • image_1.png
    361 kB
    End of training almost 2 years ago
  • image_2.png
    407 kB
    End of training almost 2 years ago
  • image_3.png
    484 kB
    End of training almost 2 years ago
  • pytorch_lora_weights.safetensors
    3.23 MB
    xet
    End of training almost 2 years ago