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d-wang26
/
wd

Diffusers
TensorBoard
Safetensors
DDPMPipeline
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use d-wang26/wd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use d-wang26/wd with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("d-wang26/wd", 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
wd / diffusers /benchmarks
27.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
d-wang26's picture
d-wang26
Epoch 0
af8eaa7 verified about 2 years ago
  • base_classes.py
    12.1 kB
    Epoch 0 about 2 years ago
  • benchmark_controlnet.py
    886 Bytes
    Epoch 0 about 2 years ago
  • benchmark_ip_adapters.py
    1.03 kB
    Epoch 0 about 2 years ago
  • benchmark_sd_img.py
    988 Bytes
    Epoch 0 about 2 years ago
  • benchmark_sd_inpainting.py
    849 Bytes
    Epoch 0 about 2 years ago
  • benchmark_t2i_adapter.py
    916 Bytes
    Epoch 0 about 2 years ago
  • benchmark_t2i_lcm_lora.py
    695 Bytes
    Epoch 0 about 2 years ago
  • benchmark_text_to_image.py
    1.12 kB
    Epoch 0 about 2 years ago
  • push_results.py
    2.6 kB
    Epoch 0 about 2 years ago
  • run_all.py
    3.03 kB
    Epoch 0 about 2 years ago
  • utils.py
    2.89 kB
    Epoch 0 about 2 years ago