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kaveh
/
wsi_generator

Unconditional Image Generation
Diffusers
TensorBoard
Safetensors
English
DDPMPipeline
diffusion
image generation
unconditional
wsi
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use kaveh/wsi_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kaveh/wsi_generator with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kaveh/wsi_generator", 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
wsi_generator
6.44 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 27 commits
kaveh's picture
kaveh
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
6415238 verified about 1 year ago
  • checkpoint-164000
    Adding `safetensors` variant of this model (#1) about 1 year ago
  • checkpoint-168000
    Adding `safetensors` variant of this model (#1) about 1 year ago
  • logs
    Epoch 49 almost 3 years ago
  • scheduler
    added files after epoch 0 almost 3 years ago
  • unet
    Adding `safetensors` variant of this model (#1) about 1 year ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • .gitignore
    15 Bytes
    Epoch 0 almost 3 years ago
  • README.md
    771 Bytes
    changed line of cuda to device almost 3 years ago
  • model_index.json
    186 Bytes
    added files after epoch 0 almost 3 years ago