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plane0654
/
dreamshaper-8-lcm-openvino

Text-to-Image
Diffusers
OpenVINO
English
OVStableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
dreamshaper
lcm
openvino-export
Model card Files Files and versions
xet
Community

Instructions to use plane0654/dreamshaper-8-lcm-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use plane0654/dreamshaper-8-lcm-openvino with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("plane0654/dreamshaper-8-lcm-openvino", torch_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 Settings
  • Draw Things
  • DiffusionBee
dreamshaper-8-lcm-openvino / vae_encoder
137 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
plane0654's picture
plane0654
Upload vae_encoder/config.json with huggingface_hub
0c4d225 verified over 1 year ago
  • config.json
    601 Bytes
    Upload vae_encoder/config.json with huggingface_hub over 1 year ago
  • openvino_model.bin
    137 MB
    xet
    Upload vae_encoder/openvino_model.bin with huggingface_hub over 1 year ago
  • openvino_model.xml
    240 kB
    Upload vae_encoder/openvino_model.xml with huggingface_hub over 1 year ago