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mezerotm
/
dreamshaper

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

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

  • Libraries
  • Diffusers

    How to use mezerotm/dreamshaper with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mezerotm/dreamshaper", 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
dreamshaper
7.62 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
mezerotm's picture
mezerotm
convert to diffusers
c377b27 almost 3 years ago
  • feature_extractor
    convert to diffusers almost 3 years ago
  • safety_checker
    convert to diffusers almost 3 years ago
  • scheduler
    convert to diffusers almost 3 years ago
  • text_encoder
    convert to diffusers almost 3 years ago
  • tokenizer
    convert to diffusers almost 3 years ago
  • unet
    convert to diffusers almost 3 years ago
  • vae
    convert to diffusers almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • dreamshaper_7.safetensors
    2.13 GB
    xet
    Upload dreamshaper_7.safetensors almost 3 years ago
  • model_index.json
    579 Bytes
    convert to diffusers almost 3 years ago