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CompVis
/
ldm-super-resolution-4x-openimages

Diffusers
PyTorch
LDMSuperResolutionPipeline
super-resolution
diffusion-super-resolution
Model card Files Files and versions
xet
Community
6

Instructions to use CompVis/ldm-super-resolution-4x-openimages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CompVis/ldm-super-resolution-4x-openimages 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-super-resolution-4x-openimages", 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
ldm-super-resolution-4x-openimages
1.35 GB
Ctrl+K
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  • 3 contributors
History: 7 commits
patrickvonplaten's picture
patrickvonplaten
Fix deprecated float16/fp16 variant loading through new `version` API. (#4)
0b55ddf almost 3 years ago
  • scheduler
    add model over 3 years ago
  • unet
    Fix deprecated float16/fp16 variant loading through new `version` API. (#4) almost 3 years ago
  • vqvae
    Fix deprecated float16/fp16 variant loading through new `version` API. (#4) almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    2.83 kB
    Update README.md over 3 years ago
  • model_index.json
    248 Bytes
    add model over 3 years ago