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krystv
/
shinkaiart

Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
art
style
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Diffusers

    How to use krystv/shinkaiart with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("krystv/shinkaiart", 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
shinkaiart
8.86 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
krystv's picture
krystv
Upload sample_images with huggingface_hub
b498468 about 3 years ago
  • feature_extractor
    Upload feature_extractor with huggingface_hub over 3 years ago
  • safety_checker
    Upload safety_checker with huggingface_hub about 3 years ago
  • sample_images
    Upload 2 files over 3 years ago
  • scheduler
    Upload scheduler with huggingface_hub about 3 years ago
  • text_encoder
    Upload text_encoder with huggingface_hub about 3 years ago
  • tokenizer
    Upload tokenizer with huggingface_hub about 3 years ago
  • unet
    Upload unet with huggingface_hub about 3 years ago
  • vae
    Upload vae with huggingface_hub about 3 years ago
  • .gitattributes
    2.99 kB
    Upload 2 files over 3 years ago
  • README.md
    2.71 kB
    Update README.md over 3 years ago
  • model_index.json
    541 Bytes
    Upload model_index.json with huggingface_hub about 3 years ago
  • shinkai-v2.ckpt
    2.13 GB
    xet
    Upload the concept shinkaiart embeds and token over 3 years ago