Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

Remade-AI
/
Vintage-VHS

Text-to-Video
Diffusers
English
text-to-image
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use Remade-AI/Vintage-VHS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Remade-AI/Vintage-VHS 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/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Remade-AI/Vintage-VHS")
    
    prompt = "vh5_c4m3r4 old VHS style, the video starts with a close-up shot of a wall covered in graffiti. The camera slowly pans to the right, revealing more of the wall and a door. It then pans left, revealing a man in a black t-shirt with his back to the camera. He reaches toward the door, then pulls it open. The video ends with a shot of the man walking through the doorway."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
Vintage-VHS
364 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Remade's picture
Remade
Create README.md
e8cfc31 verified about 1 year ago
  • example_videos
    Upload 3 files about 1 year ago
  • workflow_T2V
    Upload 2 files about 1 year ago
  • .gitattributes
    1.76 kB
    Upload 3 files about 1 year ago
  • README.md
    6.89 kB
    Create README.md about 1 year ago
  • vhs_20_epochs.safetensors
    359 MB
    xet
    Upload vhs_20_epochs.safetensors about 1 year ago