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blanchon
/
nitro_e_512

Text-to-Image
Diffusers
Safetensors
NitroEPipeline
diffusion
nitro-e
amd
Model card Files Files and versions
xet
Community

Instructions to use blanchon/nitro_e_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use blanchon/nitro_e_512 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("blanchon/nitro_e_512", 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
nitro_e_512 / tokenizer
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  • 1 contributor
History: 1 commit
blanchon's picture
blanchon
Upload Nitro-E 512px in diffusers format
87ad322 verified 6 months ago
  • special_tokens_map.json
    335 Bytes
    Upload Nitro-E 512px in diffusers format 6 months ago
  • tokenizer.json
    17.2 MB
    xet
    Upload Nitro-E 512px in diffusers format 6 months ago
  • tokenizer_config.json
    50.6 kB
    Upload Nitro-E 512px in diffusers format 6 months ago