Instructions to use Keltezaa/Wet_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/Wet_face 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("Keltezaa/Wet_face") prompt = "Capture the essence in a highly detailed and realistic portrait, woman with a wet face" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Capture the essence in a highly detailed and realistic portrait, woman with
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a wet face
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- diffusers
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widget:
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- text: >-
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Capture the essence in a highly detailed and realistic portrait, woman with
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a wet face
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