Instructions to use nnndite/DeepThroat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nnndite/DeepThroat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nnndite/DeepThroat") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/cf0f8637baf4d73536964cc6f30f43b7.png
text: '-'
base_model: ''
instance_prompt: null
license: afl-3.0
ltx2.3_Deep Throat.safetensors

- Prompt
- -
Model description
ltx2.3深喉
Download model
Download them in the Files & versions tab.