Instructions to use Arturmel/Instaonli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arturmel/Instaonli 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Arturmel/Instaonli") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Arturmel/Instaonli")
prompt = "-"
image = pipe(prompt).images[0]Instaonli

- Prompt
- -
Trigger words
You should use 1NST4GR4M to trigger the image generation.
You should use OnlyFans Style to trigger the image generation.
You should use Instagram Style Selfie to trigger the image generation.
You should use Instagram Style to trigger the image generation.
You should use 0QMvzt to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Arturmel/Instaonli
Base model
black-forest-labs/FLUX.1-dev