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yuvalkirstain
/
Protogen_X3.4

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use yuvalkirstain/Protogen_X3.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yuvalkirstain/Protogen_X3.4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yuvalkirstain/Protogen_X3.4", 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
Protogen_X3.4
5.48 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
yuvalkirstain's picture
yuvalkirstain
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
fda85b8 about 3 years ago
  • feature_extractor
    add diffusers over 3 years ago
  • safety_checker
    add diffusers over 3 years ago
  • scheduler
    add diffusers over 3 years ago
  • text_encoder
    add diffusers over 3 years ago
  • tokenizer
    add diffusers over 3 years ago
  • unet
    add diffusers over 3 years ago
  • vae
    add diffusers over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • convert_to_diffusers.py
    42.9 kB
    add diffusers over 3 years ago
  • model_index.json
    577 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2) about 3 years ago
  • v1-inference.yaml
    1.87 kB
    add diffusers over 3 years ago