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Remade-AI
/
Doom-FPS

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

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

  • Libraries
  • Diffusers

    How to use Remade-AI/Doom-FPS 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/Doom-FPS")
    
    prompt = "The [d00m doom first person gameplay] showcases a player using a rocket launcher in a room with a cyberdemon, the text \"TARGET ACQUIRED\" flashing."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
Doom-FPS
313 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Remade's picture
Remade
Update README.md
7502cd4 verified about 1 year ago
  • example_videos
    Upload 4 files about 1 year ago
  • workflow
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  • .gitattributes
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  • README.md
    6.35 kB
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  • doom_8_epochs.safetensors
    307 MB
    xet
    Upload doom_8_epochs.safetensors about 1 year ago