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vcollos
/
camila

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

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

  • Libraries
  • Diffusers

    How to use vcollos/camila 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("vcollos/camila")
    
    prompt = "Camila no café"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
camila
348 MB
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  • 1 contributor
History: 2 commits
vcollos's picture
vcollos
Add 4 files
8a7ff67 verified over 1 year ago
  • images
    Add 4 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • Camila.safetensors
    172 MB
    xet
    Add 4 files over 1 year ago
  • README.md
    544 Bytes
    initial commit over 1 year ago
  • camila_config.yaml
    2.23 kB
    Add 4 files over 1 year ago
  • camila_optimizer.pt

    Detected Pickle imports (4)

    • "torch.ByteStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    176 MB
    xet
    Add 4 files over 1 year ago