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bageldotcom
/
paris

Text-to-Image
Diffusers
Safetensors
DDMPipeline
diffusion
multi-expert
dit
laion
distributed
decentralized
flow-matching
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use bageldotcom/paris with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("bageldotcom/paris", 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
paris / tokenizer
1.59 MB
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  • 2 contributors
History: 1 commit
Bagel Labs
Upload folder using huggingface_hub
4abc914 verified 7 months ago
  • merges.txt
    525 kB
    Upload folder using huggingface_hub 7 months ago
  • special_tokens_map.json
    588 Bytes
    Upload folder using huggingface_hub 7 months ago
  • tokenizer_config.json
    736 Bytes
    Upload folder using huggingface_hub 7 months ago
  • vocab.json
    1.06 MB
    Upload folder using huggingface_hub 7 months ago