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jakedahn
/
flux-latentpop

Text-to-Image
Diffusers
English
flux
lora
replicate
Model card Files Files and versions
xet
Community

Instructions to use jakedahn/flux-latentpop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jakedahn/flux-latentpop 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("jakedahn/flux-latentpop")
    
    prompt = "screenprint tshirt design, a happy cat holding a sign that says \"I LOVE  VE REPLICATE\", LNTP illustration style"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
flux-latentpop
277 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
flippinbits's picture
flippinbits
updating filenames
e598e88 almost 2 years ago
  • captions
    updating with v1 details almost 2 years ago
  • images
    updating with v1 details almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • 2024-08-24-latentpop.zip
    18.3 MB
    xet
    adding the training set to the repo almost 2 years ago
  • README.md
    3 kB
    updating filenames almost 2 years ago
  • config.yaml
    1.28 kB
    updating with v1 details almost 2 years ago
  • lora.safetensors
    258 MB
    xet
    updating with v1 details almost 2 years ago