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lenML
/
case-h-beta

Text-to-Image
Diffusers
English
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Model card Files Files and versions
xet
Community

Instructions to use lenML/case-h-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lenML/case-h-beta with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lenML/case-h-beta", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "cinematic film still one man, orc, in armor. shallow depth of field, vignette, highly detailed, high budget Hollywood movie, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
case-h-beta
2.57 GB
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  • 1 contributor
History: 5 commits
lenML's picture
lenML
Update README.md
f2467d2 verified almost 2 years ago
  • .gitattributes
    2.31 kB
    initial commit almost 2 years ago
  • README.md
    2.76 kB
    Update README.md almost 2 years ago
  • case-h-beta.baked.fp16.safetensors
    2.57 GB
    xet
    Upload case-h-beta.baked.fp16.safetensors almost 2 years ago