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amd
/
FLUX.1-schnell_io32_amdgpu

Text-to-Image
Diffusers
ONNX
FluxPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use amd/FLUX.1-schnell_io32_amdgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use amd/FLUX.1-schnell_io32_amdgpu 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_io32_amdgpu", 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_io32_amdgpu
27 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 13 commits
ozhang
Update unet model data name to standard
3517911 about 1 year ago
  • scheduler
    Upload 23 files about 1 year ago
  • text_encoder
    Upload 23 files about 1 year ago
  • text_encoder_2
    Upload 23 files about 1 year ago
  • tokenizer
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  • tokenizer_2
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  • transformer
    Update unet model data name to standard about 1 year ago
  • vae_decoder
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  • vae_encoder
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  • .gitattributes
    2.04 kB
    Update unet model data name to standard about 1 year ago
  • README.md
    1.48 kB
    Update README.md over 1 year ago
  • model_index.json
    624 Bytes
    Upload 23 files about 1 year ago
  • sample.png
    1.64 MB
    xet
    Upload sample.png over 1 year ago