Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

ostris
/
vae-kl-f8-d16

Diffusers
Safetensors
Model card Files Files and versions
xet
Community
9

Instructions to use ostris/vae-kl-f8-d16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ostris/vae-kl-f8-d16 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ostris/vae-kl-f8-d16", 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
vae-kl-f8-d16
115 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
ostris's picture
ostris
Adjusted scale factor
77878ec verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.9 kB
    Add SD1.5 example to README.MD (#3) almost 2 years ago
  • config.json
    729 Bytes
    Adjusted scale factor almost 2 years ago
  • diffusion_pytorch_model.safetensors
    115 MB
    xet
    Upload 2 files almost 2 years ago