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neph1
/
ancient_rome_wan

Text-to-Video
Diffusers
lora
template:diffusion-lora
t2v
Model card Files Files and versions
xet
Community

Instructions to use neph1/ancient_rome_wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use neph1/ancient_rome_wan with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("neph1/ancient_rome_wan")
    
    prompt = "-"
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
ancient_rome_wan
1.23 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
neph1's picture
neph1
Upload 2 files
4a1c449 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    750 Bytes
    Create README.md 9 months ago
  • rome_wan_high_20.safetensors
    614 MB
    xet
    Upload 2 files 9 months ago
  • rome_wan_low_30.safetensors
    614 MB
    xet
    Upload 2 files 9 months ago