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the-cloud-minders
/
realistic-vision

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

Instructions to use the-cloud-minders/realistic-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use the-cloud-minders/realistic-vision with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("the-cloud-minders/realistic-vision", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
realistic-vision
7.62 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
mezerotm's picture
mezerotm
created hg model
8cb39dc almost 3 years ago
  • feature_extractor
    created hg model almost 3 years ago
  • safety_checker
    created hg model almost 3 years ago
  • scheduler
    created hg model almost 3 years ago
  • text_encoder
    created hg model almost 3 years ago
  • tokenizer
    created hg model almost 3 years ago
  • unet
    created hg model almost 3 years ago
  • vae
    created hg model almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • model_index.json
    579 Bytes
    created hg model almost 3 years ago
  • realistic-vision.safetensors
    2.13 GB
    xet
    created hg model almost 3 years ago