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mxturbo
/
Openwheel-motorsports-Cockpit-T-Cam-LTX2.3

Image-Text-to-Video
Diffusers
text-to-video
image-to-video
lora
animated
Model card Files Files and versions
xet
Community
2

Instructions to use mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("mxturbo/Openwheel-motorsports-Cockpit-T-Cam-LTX2.3")
    
    prompt = "AT-cam onboard view looking over the silver and cyan central halo structure of a red 16LV6HybridF1 car on a very wet track in extremely heavy rain. The car features prominent cyan and white sponsor decals including \"MoGithub\", \"Red Stallion\", \"LBC.co\" and \"4ThFooLR\". The car exits a right-hand corner, driving over the painted exit curbs, and forcefully accelerates down a straight. Passing under a \"ThisYearIsOurYear\" sponsor bridge, the driver steers slightly right to follow the gentle curve of the straight before braking hard for the upcoming left turn. A gold, black, and silver driver's helmet is visible at the bottom of the frame."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
Openwheel-motorsports-Cockpit-T-Cam-LTX2.3
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  • 1 contributor
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mxturbo
Update README.md
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  • .gitattributes
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  • README.md
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    Update README.md about 2 months ago