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MercuryNex
/
hyperlcm-openvino

Text-to-Image
Diffusers
OpenVINO
English
StableDiffusionPipeline
openvino-export
Model card Files Files and versions
xet
Community

Instructions to use MercuryNex/hyperlcm-openvino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MercuryNex/hyperlcm-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("MercuryNex/hyperlcm-openvino", 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
hyperlcm-openvino / vae_decoder
Ctrl+K
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  • 1 contributor
History: 3 commits
MercuryNex's picture
MercuryNex
Upload vae_decoder/config.json with huggingface_hub
86e2b26 verified 9 months ago
  • config.json
    917 Bytes
    Upload vae_decoder/config.json with huggingface_hub 9 months ago
  • openvino_model.bin
    196 MB
    xet
    Upload vae_decoder/openvino_model.bin with huggingface_hub 9 months ago
  • openvino_model.xml
    187 kB
    Upload vae_decoder/openvino_model.xml with huggingface_hub 9 months ago