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Remade-AI
/
POV-Driving

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/POV-Driving with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Remade-AI/POV-Driving 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/POV-Driving")
    
    prompt = "p0v_dr1v1n6, video shows a person driving a car through a burning hellscape. The driver is holding the steering wheel with both hands. Rivers of lava flow on both sides of the cracked road, and firestorms rage in the distance. The driver is looking straight ahead. The car has a digital dashboard and a touchscreen display flickering with demonic symbols."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
POV-Driving / workflow
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Remade
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754ab68 verified about 1 year ago
  • wan_txt2vid_lora_workflow.json
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    Upload 2 files about 1 year ago
  • workflow_screenshot.png
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    xet
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