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Danrisi
/
Lenovo_ChromaRadiance

Text-to-Image
Diffusers
English
chroma
realistic
lora
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use Danrisi/Lenovo_ChromaRadiance with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-Radiance", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Danrisi/Lenovo_ChromaRadiance")
    
    prompt = "Low-quality smartphone photo, shaky amateur shot captured from the passenger seat of a moving parallel vehicle through side window. High-speed motion blur background. In the adjacent lane, a bright blue Dodge Charger is speeding parallel to the camera, blue underglow faint in the daylight.young latina girl 20 years old, with long dark hair, sits calmly in a lotus pose on the roof of the moving dodge charger, wearing lavender and silver leggings. Foreground shows the blurry frame of the photographer's car window and faint reflections of a dashboard. Sun glare, digital noise, rolling shutter effect, grainy texture, candid street photography aesthetic, highway setting."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Lenovo_ChromaRadiance
912 MB
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  • 1 contributor
History: 27 commits
Danrisi's picture
Danrisi
Update README.md
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  • ChromaRadiance_Danrisi_Workflow.json
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  • README.md
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  • lenovo_chromaradiance.safetensors
    897 MB
    xet
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