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DmitryMLC
/
yk

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Diffusers

    How to use DmitryMLC/yk with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("DmitryMLC/yk", 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
yk / text_encoder
492 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
DmitryMLC's picture
DmitryMLC
Upload text_encoder with huggingface_hub
63b41ef over 3 years ago
  • config.json
    608 Bytes
    Upload text_encoder with huggingface_hub over 3 years ago
  • pytorch_model.bin
    492 MB
    xet
    Upload text_encoder with huggingface_hub over 3 years ago