Instructions to use Jonjew/MakeupBit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MakeupBit 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("Jonjew/MakeupBit") prompt = "A photograph of a woman's luminescent face with vibrant, glowing makeup. Her skin is covered in bright orange, red, and blue colors, creating a striking contrast with her natural skin tone. The makeup is heavily applied, with a focus on the eyes and lips, the lips and eyelashes are glowing bright blue. She has a neutral expression. The image is artistic and colorful. <lora:makeup_art_FLUX_v1-000029:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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version https://git-lfs.github.com/spec/v1
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oid sha256:312cd474abcd26deb3cebdf753d05ef2b87fe8cff936505e34355fc8fa14d2d1
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size 38456064
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