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Jemmo
/
ProtonX50

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

Instructions to use Jemmo/ProtonX50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Jemmo/ProtonX50 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/ProtonX50")
    
    prompt = "A sleek, red x50style 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 night background shows a racetrack with safety barriers and a distant cityscape under a night cloudy sky, which is lit by the setting moon, 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. reflection."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ProtonX50
172 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
Jemmo's picture
Jemmo
Delete ComfyUI_temp_sozdf_00015_.png
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  • .gitattributes
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    Update .gitattributes almost 2 years ago
  • ProtonX50.safetensors
    172 MB
    xet
    Upload ProtonX50.safetensors almost 2 years ago
  • README.md
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    Update README.md almost 2 years ago