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flamehaze1115
/
Wonder3D_plus

Diffusers
Safetensors
MVDiffusionImagePipeline
Model card Files Files and versions
xet
Community

Instructions to use flamehaze1115/Wonder3D_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use flamehaze1115/Wonder3D_plus with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("flamehaze1115/Wonder3D_plus", 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
Wonder3D_plus
9.6 GB
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  • 2 contributors
History: 8 commits
flamehaze1115's picture
flamehaze1115
Upload 19 files
89a7ccb verified over 1 year ago
  • feature_extractor
    first commit over 1 year ago
  • image_encoder
    first commit over 1 year ago
  • mv_controlnet
    add_mv_enhance over 1 year ago
  • mv_diffusion_30
    Upload 19 files over 1 year ago
  • mvdiffusion
    add_mv_enhance over 1 year ago
  • scheduler
    first commit over 1 year ago
  • unet
    first commit over 1 year ago
  • vae
    first commit over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    26 Bytes
    first commit over 1 year ago
  • model_index.json
    528 Bytes
    Update model_index.json over 1 year ago