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bghira
/
deepcinema

Text-to-Image
Diffusers
deepfloyd-if
lora
template:sd-lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use bghira/deepcinema with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-M-v1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("bghira/deepcinema")
    
    prompt = "a happy family"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
deepcinema / images
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  • 1 contributor
History: 2 commits
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