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TheAwakenOne
/
watercolor

Text-to-Image
Diffusers
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community
5

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

  • Libraries
  • Diffusers

    How to use TheAwakenOne/watercolor 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("TheAwakenOne/watercolor")
    
    prompt = "WAT3R a watercolor painting of a man wearing a purple neck tie against a white background. Her face is clearly visible, with her eyes looking directly at the viewer and her lips slightly parted"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
watercolor
32 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
TheAwakenOne's picture
TheAwakenOne
Remove extra .safetensors files
c1579bf over 1 year ago
  • images
    Add generated example (#5) over 1 year ago
  • sample
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  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.47 kB
    Add generated example (#5) over 1 year ago
  • dataset.toml
    288 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • sample_prompts.txt
    622 Bytes
    Upload folder using huggingface_hub over 1 year ago
  • train.bat
    1.68 kB
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  • watercolor.safetensors
    18.2 MB
    xet
    Upload folder using huggingface_hub over 1 year ago