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spockren
/
sd-naruto-model

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use spockren/sd-naruto-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use spockren/sd-naruto-model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("spockren/sd-naruto-model", 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
sd-naruto-model / checkpoint-3000
13.8 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
spockren's picture
spockren
7de9e379cc35bb9bf66d8e91823419cd6c5e12270b90faafed0a15eab7026795
0357718 verified almost 2 years ago
  • unet
    1b3640e3d05c9809972288e3e445441d57eb1cdc909c1b0479732c8d250d87ba almost 2 years ago
  • unet_ema
    7de9e379cc35bb9bf66d8e91823419cd6c5e12270b90faafed0a15eab7026795 almost 2 years ago
  • optimizer.bin
    6.88 GB
    xet
    37902c9318d13e87f35fabcd2db2a119e4a95bc72c88d18f05e2e71022e1ece8 almost 2 years ago