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Shakker-Labs
/
FLUX.1-dev-LoRA-collections

Text-to-Image
Diffusers
English
diffusers-training
lora
flux-diffusers
Flux.1-dev
image-generation
Model card Files Files and versions
xet
Community

Instructions to use Shakker-Labs/FLUX.1-dev-LoRA-collections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Shakker-Labs/FLUX.1-dev-LoRA-collections with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-collections")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
FLUX.1-dev-LoRA-collections / assets
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  • 1 contributor
History: 6 commits
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wanghaofan
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  • 1f1d61ad170064959db4f9347838a4624c681a7901bd50139e8ac0862ecbe29e.jpg
    111 kB
    Upload 1f1d61ad170064959db4f9347838a4624c681a7901bd50139e8ac0862ecbe29e.jpg about 2 years ago