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DesignAndProd
/
FAD_V0_768_Diffusers

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

Instructions to use DesignAndProd/FAD_V0_768_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DesignAndProd/FAD_V0_768_Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DesignAndProd/FAD_V0_768_Diffusers", 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
FAD_V0_768_Diffusers
5.48 GB
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  • 1 contributor
History: 2 commits
DesignAndProd's picture
DesignAndProd
First version of the model converted from .ckpt
f9f7d02 about 3 years ago
  • feature_extractor
    First version of the model converted from .ckpt about 3 years ago
  • safety_checker
    First version of the model converted from .ckpt about 3 years ago
  • scheduler
    First version of the model converted from .ckpt about 3 years ago
  • text_encoder
    First version of the model converted from .ckpt about 3 years ago
  • tokenizer
    First version of the model converted from .ckpt about 3 years ago
  • unet
    First version of the model converted from .ckpt about 3 years ago
  • vae
    First version of the model converted from .ckpt about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • model_index.json
    584 Bytes
    First version of the model converted from .ckpt about 3 years ago