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wangkua1
/
train_lora_db_style_test1_rank32

Text-to-Image
Diffusers
diffusers-training
lora
flux
flux-diffusers
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use wangkua1/train_lora_db_style_test1_rank32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wangkua1/train_lora_db_style_test1_rank32 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("wangkua1/train_lora_db_style_test1_rank32")
    
    prompt = "a portrait photo of a person. A cinematic scene inspired by Netflix TV shows, fused with a nostalgic vintage photograph aesthetic.  A moody atmosphere with a spotlight casting sharp highlights."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
train_lora_db_style_test1_rank32
2.39 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
wangkua1's picture
wangkua1
End of training
49b7485 verified almost 2 years ago
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.23 kB
    End of training almost 2 years ago
  • image_0.png
    842 Bytes
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  • image_1.png
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  • pytorch_lora_weights.safetensors
    149 MB
    xet
    End of training almost 2 years ago