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schrum2
/
MarioDiffusion-MiniLM-multiple-absence0

Diffusers
Safetensors
TextConditionalDDPMPipeline
Model card Files Files and versions
xet
Community

Instructions to use schrum2/MarioDiffusion-MiniLM-multiple-absence0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use schrum2/MarioDiffusion-MiniLM-multiple-absence0 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("schrum2/MarioDiffusion-MiniLM-multiple-absence0", 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
MarioDiffusion-MiniLM-multiple-absence0 / unet
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  • 1 contributor
History: 1 commit
schrum2's picture
schrum2
Upload 7 files
db1017c verified about 1 year ago
  • config.json
    1.82 kB
    Upload 7 files about 1 year ago
  • diffusion_pytorch_model.safetensors
    401 MB
    xet
    Upload 7 files about 1 year ago