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amd
/
FLUX.1-schnell-onnx

Text-to-Image
Diffusers
ONNX
FluxPipeline
Model card Files Files and versions
xet
Community

Instructions to use amd/FLUX.1-schnell-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use amd/FLUX.1-schnell-onnx with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("amd/FLUX.1-schnell-onnx", 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
FLUX.1-schnell-onnx / text_encoder_2
11.5 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
owenzhangzhengzhong's picture
owenzhangzhengzhong
Upload 27 files
349a7f1 verified over 1 year ago
  • config.json
    740 Bytes
    Upload 27 files over 1 year ago
  • model.onnx
    488 kB
    xet
    Upload 27 files over 1 year ago
  • model.onnx.data
    11.5 GB
    xet
    Upload 27 files over 1 year ago