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gladwel
/
smnm

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

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

  • Libraries
  • Diffusers

    How to use gladwel/smnm with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("gladwel/smnm", 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

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Gated model
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Preview of files found in this repository
  • concept_images
    Upload folder using huggingface_hub about 3 years ago
  • feature_extractor
    Upload folder using huggingface_hub about 3 years ago
  • scheduler
    Upload folder using huggingface_hub about 3 years ago
  • text_encoder
    Upload folder using huggingface_hub about 3 years ago
  • tokenizer
    Upload folder using huggingface_hub about 3 years ago
  • unet
    Upload folder using huggingface_hub about 3 years ago
  • vae
    Upload folder using huggingface_hub about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    891 Bytes
    Upload the concept smnm embeds and token about 3 years ago
  • model_index.json
    543 Bytes
    Upload folder using huggingface_hub about 3 years ago
  • token_identifier.txt
    10 Bytes
    Upload the concept smnm embeds and token about 3 years ago