---
license: cc-by-4.0
language:
- en
tags:
- text-to-video
---

# <span style="font-family: 'Courier New', monospace; font-weight: bold">T2V-Turbo</span>: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

## Model description 🚀

This repository contains `unet_lora.pt` that can turn [ModelScopeT2V](https://huggingface.co/ali-vilab/text-to-video-ms-1.7b/) into our <span style="font-family: 'Courier New', monospace; font-weight: bold">T2V-Turbo</span> (MS). Our <span style="font-family: 'Courier New', monospace; font-weight: bold">T2V-Turbo</span> (MS) can achieve both fast and high-quality T2V generation. On [VBench](https://vchitect.github.io/VBench-project/), the 4-step generation from our <span style="font-family: 'Courier New', monospace; font-weight: bold">T2V-Turbo</span> (MS) even outperform proprietary systems, including [Gen-2](https://research.runwayml.com/gen2) and [Pika](https://pika.art/). Please refer to our [GitHub repo](https://github.com/Ji4chenLi/t2v-turbo) for detailed instructions.

## 4-step Text-to-video Generation

<table class="center">
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0023.mp4" type="video/mp4"></video></td>
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0026.mp4" type="video/mp4"></video></td>
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0428.mp4" type="video/mp4"></video></td>

  <tr>
  <td style="text-align:center;" width="256">a dog wearing vr goggles on a boat</td>
  <td style="text-align:center;" width="256">Mickey Mouse is dancing on white background</td>
  <td style="text-align:center;" width="256">close-up shot, high detailed, A boy with a baseball cap, freckles, and a playful grin.</td>
  <tr>
</table >

<table class="center">
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0442.mp4" type="video/mp4"></video></td>
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0158.mp4" type="video/mp4"></video></td>
  <td><video poster="" autoplay controls muted loop height="100%" playbackRate=2.0><source src="https://rg-lcd.s3.amazonaws.com/t2v-turbo-demo/t2v-turbo-ms/4_steps/0441.mp4" type="video/mp4"></video></td>

  <tr>
  <td style="text-align:center;" width="256">an old man with a long grey beard and green eyes, camera rotate anticlockwise</td>
  <td style="text-align:center;" width="256">The flowing water sparkled under the golden sunrise in a peaceful mountain river.</td>
  <td style="text-align:center;" width="256">close-up shot, high detailed, a girl with long curly blonde hair and sunglasses</td>
  <tr>
  <tr>
</table >


## Misuse, Malicious Use and Excessive Use 📖
Our model is meant for research purposes.

- It is prohibited to generate content that is demeaning or harmful to people or their environment, culture, religion, etc.
- Prohibited for pornographic, violent and bloody content generation.
- Prohibited for error and false information generation.