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
File size: 522 Bytes
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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
<Gallery />
## 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](/B4100/LTXBJ/tree/main) them in the Files & versions tab.
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