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canberkb9
/
hf-intro

Diffusers
Safetensors
DDIMPipeline
Model card Files Files and versions
xet
Community

Instructions to use canberkb9/hf-intro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use canberkb9/hf-intro with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("canberkb9/hf-intro", 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
hf-intro
13.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
canberkb9's picture
canberkb9
Epoch 59
97f1df6 over 2 years ago
  • checkpoint-1000
    Epoch 20 over 2 years ago
  • checkpoint-1500
    Epoch 30 over 2 years ago
  • checkpoint-2000
    Epoch 40 over 2 years ago
  • checkpoint-2500
    Epoch 40 over 2 years ago
  • checkpoint-3000
    Epoch 50 over 2 years ago
  • checkpoint-3500
    Epoch 59 over 2 years ago
  • checkpoint-500
    Epoch 10 over 2 years ago
  • scheduler
    Epoch 0 over 2 years ago
  • unet
    Epoch 59 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    15 Bytes
    Epoch 0 over 2 years ago
  • model_index.json
    186 Bytes
    Epoch 0 over 2 years ago