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yasakoko
/
NoAI-Diffusion

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
NoAI
AntiAI
Model card Files Files and versions
xet
Community
5

Instructions to use yasakoko/NoAI-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yasakoko/NoAI-Diffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yasakoko/NoAI-Diffusion", 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
NoAI-Diffusion
Ctrl+K
Ctrl+K
  • 4 contributors
History: 25 commits
Yasaka Kokoro
p1atdev's picture
p1atdev
fix readme table (#3)
aac32b1 about 3 years ago
  • feature_extractor
    nitial Commit over 3 years ago
  • models
    Update: v1.2 over 3 years ago
  • scheduler
    nitial Commit over 3 years ago
  • text_encoder
    nitial Commit over 3 years ago
  • tokenizer
    Update: v1.1 over 3 years ago
  • unet
    Update: v1.2 over 3 years ago
  • vae
    Add `scale_factor` to vae config. (#5) about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.6 kB
    fix readme table (#3) about 3 years ago
  • args.json
    1.56 kB
    Update args.json over 3 years ago
  • model_index.json
    537 Bytes
    nitial Commit over 3 years ago