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ckpt
/
realistic_vision_5

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

Instructions to use ckpt/realistic_vision_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ckpt/realistic_vision_5 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ckpt/realistic_vision_5", 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_5
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  • 1 contributor
History: 3 commits
camenduru's picture
camenduru
thanks to SG_161222 ❤
66b1dd6 almost 3 years ago
  • feature_extractor
    thanks to SG_161222 ❤ almost 3 years ago
  • safety_checker
    thanks to SG_161222 ❤ almost 3 years ago
  • scheduler
    thanks to SG_161222 ❤ almost 3 years ago
  • text_encoder
    thanks to SG_161222 ❤ almost 3 years ago
  • tokenizer
    thanks to SG_161222 ❤ almost 3 years ago
  • unet
    thanks to SG_161222 ❤ almost 3 years ago
  • vae
    thanks to SG_161222 ❤ almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • model_index.json
    579 Bytes
    thanks to SG_161222 ❤ almost 3 years ago
  • realisticVisionV50_v50VAE.safetensors
    2.13 GB
    xet
    thanks to SG_161222 ❤ almost 3 years ago