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RobertML
/
edge-zk

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stablediffusionapi.com
stable-diffusion-api
ultra-realistic
Model card Files Files and versions
xet
Community

Instructions to use RobertML/edge-zk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use RobertML/edge-zk with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("RobertML/edge-zk", 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
edge-zk / tokenizer_2
1.59 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Montey's picture
Montey
Initial model
bda4d11 over 1 year ago
  • merges.txt
    525 kB
    Initial model over 1 year ago
  • special_tokens_map.json
    460 Bytes
    Initial model over 1 year ago
  • tokenizer_config.json
    855 Bytes
    Initial model over 1 year ago
  • vocab.json
    1.06 MB
    Initial model over 1 year ago