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YaYaB
/
sd-onepiece-diffusers-test

Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use YaYaB/sd-onepiece-diffusers-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use YaYaB/sd-onepiece-diffusers-test with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("YaYaB/sd-onepiece-diffusers-test", 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
sd-onepiece-diffusers-test
5.74 GB
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  • 3 contributors
History: 20 commits
patrickvonplaten's picture
patrickvonplaten
Add `clip_sample=False` to scheduler to make model compatible with DDIM.
366a318 over 3 years ago
  • data
    Epoch 140 over 3 years ago
  • feature_extractor
    Epoch 0 over 3 years ago
  • logs
    Epoch 140 over 3 years ago
  • safety_checker
    Epoch 0 over 3 years ago
  • scheduler
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. over 3 years ago
  • text_encoder
    Epoch 0 over 3 years ago
  • tokenizer
    Epoch 0 over 3 years ago
  • unet
    Epoch 140 over 3 years ago
  • vae
    Epoch 0 over 3 years ago
  • .gitattributes
    58.6 kB
    Epoch 140 over 3 years ago
  • .gitignore
    15 Bytes
    Epoch 0 over 3 years ago
  • model_index.json
    543 Bytes
    Epoch 0 over 3 years ago