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Jemmo
/
myvi2016

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use Jemmo/myvi2016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Jemmo/myvi2016 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Jemmo/myvi2016")
    
    prompt = "sleek, red myvi car drifts around a corner on a racetrack, leaving a trail of smoke behind it. The car's low, aerodynamic design is emphasized as it takes the turn at high speed, with its tires gripping the asphalt. The background shows a racetrack with safety barriers and a distant cityscape under a cloudy sky, which is lit by the setting sun, casting a warm glow over the scene. The motion blur and smoke create a dynamic sense of speed and intensity, capturing the thrill of high-performance racing."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
myvi2016
172 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
Jemmo's picture
Jemmo
Upload myvi2016.safetensors
e22a841 verified over 1 year ago
  • .gitattributes
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  • README.md
    2.21 kB
    Update README.md over 1 year ago
  • myvi2016.safetensors
    172 MB
    xet
    Upload myvi2016.safetensors over 1 year ago