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TMElyralab
/
MuseV

Text-to-Video
Diffusers
ONNX
Safetensors
English
AIGC
text2video
image2video
infinite-length
human
Model card Files Files and versions
xet
Community
6

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

  • Libraries
  • Diffusers

    How to use TMElyralab/MuseV with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TMElyralab/MuseV", 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
MuseV
34.7 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 45 commits
anchor
Upload 16 files
740152c verified about 2 years ago
  • IP-Adapter
    add IP-Adapter, embedding, insightface models about 2 years ago
  • data
    Delete data/images about 2 years ago
  • embedding
    add IP-Adapter, embedding, insightface models about 2 years ago
  • lcm
    add vae, lcm, t2i model path about 2 years ago
  • motion
    add new model, train unet motion and ipadapter, fix referencenet, t2i about 2 years ago
  • t2i
    Upload 16 files about 2 years ago
  • vae
    add vae, lcm, t2i model path about 2 years ago
  • .gitattributes
    2.8 kB
    add data and generated video about 2 years ago
  • Dockerfile
    1.1 kB
    huggingface deployment file about 2 years ago
  • README.md
    15.7 kB
    Update README.md about 2 years ago