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vladocar
/
3dfood

Text-to-Image
Diffusers
English
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use vladocar/3dfood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vladocar/3dfood with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("vladocar/3dfood", torch_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
3dfood / concept_images
1.8 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
vladocar's picture
vladocar
Upload 01683-1802733235-hot dog, detailed, 3dfood, chocolate texture.png
f3fc558 over 3 years ago
  • 01683-1802733235-hot dog, detailed, 3dfood, chocolate texture.png
    210 kB
    Upload 01683-1802733235-hot dog, detailed, 3dfood, chocolate texture.png over 3 years ago
  • 3d_food.png
    274 kB
    Upload concept_images with huggingface_hub over 3 years ago
  • download_-_2022-11-17T172124.601_upscayl_4x_realesrgan-x4plus-anime.png
    944 kB
    Upload concept_images with huggingface_hub over 3 years ago
  • download_-_2022-11-17T172815.533.png
    374 kB
    Upload concept_images with huggingface_hub over 3 years ago