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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 / IP-Adapter /models
6.08 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
anchor
add IP-Adapter, embedding, insightface models
dfdb065 verified over 2 years ago
  • image_encoder
    add IP-Adapter, embedding, insightface models over 2 years ago
  • ip-adapter-faceid_sd15.bin
    96.7 MB
    xet
    add IP-Adapter, embedding, insightface models over 2 years ago
  • ip-adapter-plus-face_sd15.bin
    98.2 MB
    xet
    add IP-Adapter, embedding, insightface models over 2 years ago
  • ip-adapter-plus_sd15.bin
    158 MB
    xet
    add IP-Adapter, embedding, insightface models over 2 years ago
  • ip-adapter_sd15.bin
    44.6 MB
    xet
    add IP-Adapter, embedding, insightface models over 2 years ago