Instructions to use SlartyG/oral-insertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SlartyG/oral-insertion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SlartyG/oral-insertion") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Снимок экрана 2026-02-28 в 18.01.47.png
text: Screenshot
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: null
oral-insertion

- Prompt
- Screenshot
Download model
Download them in the Files & versions tab.