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Junyi-W
/
DIDR

Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
z-image
diffusion distillation
one-step generation
rlhf
Model card Files Files and versions
xet
Community

Instructions to use Junyi-W/DIDR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Junyi-W/DIDR with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Junyi-W/DIDR", 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 Settings
  • Draw Things
  • DiffusionBee
DIDR
22.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
Junyi-W's picture
Junyi-W
Link paper to arXiv 2605.24001
00287b1 verified about 23 hours ago
  • assets
    Add teaser 1 day ago
  • zimage_transformer
    Add Z-Image DIDR 1-step transformer; finalize usage 1 day ago
  • .gitattributes
    1.57 kB
    Add teaser 1 day ago
  • README.md
    4.18 kB
    Link paper to arXiv 2605.24001 about 23 hours ago
  • didr_longer_sdxl_1step_unet_fp16.safetensors
    5.14 GB
    xet
    Add SDXL DIDR and DIDR-longer 1-step UNets (fp16) 1 day ago
  • didr_sdxl_1step_unet_fp16.safetensors
    5.14 GB
    xet
    Add SDXL DIDR and DIDR-longer 1-step UNets (fp16) 1 day ago