Instructions to use TayTayLiker/oil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TayTayLiker/oil 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("TayTayLiker/oil") prompt = "cinematic film still of <lora:Oily skin style v1:0.5>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
oil

- Prompt
- cinematic film still of <lora:Oily skin style v1:0.5>
- Negative Prompt
- anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
Trigger words
You should use oily skin style to trigger the image generation.
You should use shiny skin style to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for TayTayLiker/oil
Base model
black-forest-labs/FLUX.1-dev