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plugyawn
/
rae-dit-s-ep14-diffusers

Unconditional Image Generation
Diffusers
Safetensors
RAEDiTPipeline
rae
rae-dit
diffusion-transformer
imagenet-256
arxiv:2510.11690
Model card Files Files and versions
xet
Community

Instructions to use plugyawn/rae-dit-s-ep14-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use plugyawn/rae-dit-s-ep14-diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("plugyawn/rae-dit-s-ep14-diffusers", 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
rae-dit-s-ep14-diffusers / transformer
786 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
plugyawn's picture
plugyawn
Fix RAEDiT Stage-2 positional embedding export
c4c58dd verified 8 days ago
  • config.json
    505 Bytes
    Fix RAEDiT Stage-2 positional embedding export 8 days ago
  • diffusion_pytorch_model.safetensors
    786 MB
    xet
    Fix RAEDiT Stage-2 positional embedding export 8 days ago