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MirageML
/
lowpoly-office

Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
2

Instructions to use MirageML/lowpoly-office with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MirageML/lowpoly-office with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MirageML/lowpoly-office", dtype=torch.bfloat16, device_map="cuda")
    
    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
lowpoly-office
5.16 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
amankishore's picture
amankishore
valhalla's picture
valhalla
Add `scale_factor` to vae config. (#2)
2f78606 over 3 years ago
  • scheduler
    Upload to HuggingFace over 3 years ago
  • text_encoder
    Upgrade to SD2 over 3 years ago
  • tokenizer
    Upgrade to SD2 over 3 years ago
  • unet
    Correct `sample_size` of Stable Diffusion 2's unet to have correct width and height default (#1) over 3 years ago
  • vae
    Add `scale_factor` to vae config. (#2) over 3 years ago
  • .gitattributes
    1.52 kB
    Upgrade to SD2 over 3 years ago
  • README.md
    901 Bytes
    Upgrade to SD2 over 3 years ago
  • model_index.json
    511 Bytes
    Upgrade to SD2 over 3 years ago
  • output.png
    2.77 MB
    xet
    Upgrade to SD2 over 3 years ago