Instructions to use B4100/LTXBJ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/LTXBJ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lynaNSFW/LTX2.3_NSFW_motion", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/LTXBJ") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/barflashshot.png
text: '-'
base_model: lynaNSFW/LTX2.3_NSFW_motion
instance_prompt: She is performing oral sex on him
LTXBJ

- Prompt
- -
Model description
Trigger - She is performing oral sex on him.
Trigger words
You should use She is performing oral sex on him to trigger the image generation.
Download model
Download them in the Files & versions tab.