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MeissonFlow
/
Meissonic

Text-to-Image
Diffusers
Safetensors
English
Pipeline
Non-Autoregressive
Masked-Generative-Transformer
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use MeissonFlow/Meissonic with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MeissonFlow/Meissonic", 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
Meissonic
9.05 GB
Ctrl+K
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  • 4 contributors
History: 26 commits
BryanW's picture
BryanW
Update README.md
7ee5068 verified over 1 year ago
  • assets
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  • scheduler
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  • text_encoder
    fix text encoder issue over 1 year ago
  • tokenizer
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  • transformer
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  • vqvae
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  • .gitattributes
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    Upload demos.png over 1 year ago
  • README.md
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    Update README.md over 1 year ago
  • model_index.json
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    . over 1 year ago