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LyliaEngine
/
vividpdxl_v11VAE

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

Instructions to use LyliaEngine/vividpdxl_v11VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use LyliaEngine/vividpdxl_v11VAE with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("LyliaEngine/vividpdxl_v11VAE")
    
    prompt = "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, Japanese  girl, floral kimono, shoulders tattoo, large back tattoo,  exposed shoulders, from behind, beautiful face, thick eyelashes, glossy eyes, black hair, cute smile, dark eyeshadow, floral decoration in hair, falling petals, beautifully backlit, wide shot, source_photo, realistic, <lora:glowneon_xl_v1:0.6>   <lora:Expressive_H:.8> <lora:43stl1ght1ngXLP2:0.5> 43stl1ght1ng,, volumetric lighting, depth of field, cinematic"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
vividpdxl_v11VAE
6.94 GB
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  • 1 contributor
History: 3 commits
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