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CompVis
/
ldm-text2im-large-256

Text-to-Image
Diffusers
PyTorch
LDMTextToImagePipeline
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xet
Community
10

Instructions to use CompVis/ldm-text2im-large-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CompVis/ldm-text2im-large-256 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256", 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
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  • Draw Things
  • DiffusionBee
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Adding `safetensors` variant of this model

#10 opened over 1 year ago by
SFconvertbot

Is it possible for me to train/ finetune this model on a dataset of image text pairs

3
#3 opened almost 4 years ago by
ghpkishore
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