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kumarhans
/
multi_view_sample

Image-to-3D
Diffusers
Safetensors
MVDreamPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use kumarhans/multi_view_sample with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kumarhans/multi_view_sample", 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
multi_view_sample
3.99 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 28 commits
dylanebert
add imagedream
3916e55 almost 2 years ago
  • feature_extractor
    add imagedream almost 2 years ago
  • image_encoder
    add imagedream almost 2 years ago
  • scheduler
    add imagedream almost 2 years ago
  • text_encoder
    add imagedream almost 2 years ago
  • tokenizer
    add imagedream almost 2 years ago
  • unet
    add imagedream almost 2 years ago
  • vae
    add imagedream almost 2 years ago
  • .gitattributes
    1.52 kB
    add imagedream almost 2 years ago
  • .gitignore
    39 Bytes
    Update .gitignore about 2 years ago
  • README.md
    996 Bytes
    add imagedream almost 2 years ago
  • model_index.json
    548 Bytes
    add imagedream almost 2 years ago
  • pipeline.py
    58.7 kB
    isort about 2 years ago
  • requirements.txt
    1.1 kB
    minify, update requirements about 2 years ago