Instructions to use tk93/V-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tk93/V-Express with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tk93/V-Express", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Full Windows and Cloud (Massed Compute, RunPod and a Free Kaggle account) tutorials with advanced Gradio Application and 1-Click installers for V-Express
Works with Python 3.10
Installs into an isolated VENV via pip : https://www.youtube.com/watch?v=xLqDTVWUSec
Windows tutorial below :
V-Express: 1-Click AI Avatar Talking Heads Video Animation Generator - D-ID Alike - Free Open Source
Cloud Tutorial below :
V-Express 1-Click AI Talking Avatar Generator - Like D-ID - Massed Compute, RunPod & Kaggle Guide
Here screenshot of the app
0:00 Introduction to the V-Express with demo showcase
1:23 The features of the V-Express talking avatars app
2:02 How to download and install V-Express on Windows
3:29 Which requirements are necessary and how to install and verify them
4:56 How to uninstall my scripts installed apps
5:35 How to save installation logs to send me in case of any error
6:05 How to start using V-Express Gradio app after installation and the settings of the app
8:14 Explanation of auto cropping
9:05 Generating first example video and how much VRAM it is using and how much time it is taking
10:57 The location of where generated videos are saved

