---
license: cc-by-nc-4.0
datasets:
- WenhaoWang/VidProM
language:
- en
---
# Description
The first model for automatic text-to-video prompt generation. It finetuned on [VidProM](https://huggingface.co/datasets/WenhaoWang/VidProM) using [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).

# Usage

## Download the model
```
from transformers import pipeline
pipe = pipeline("text-generation", model="WenhaoWang/AutoT2VPrompt")
```

## Set the Parameters
```
input = "An undemwater world"
max_length = 50
temperature = 1.2
top_k = 8
num_return_sequences = 10
```

## Generation
```
all_prompts = pipe(input, max_length = max_length, do_sample = True, temperature = temperature, top_k = top_k, num_return_sequences=num_return_sequences)

def process(text):
    text = text.replace('\n', '.')
    text = text.replace('  .', '.')
    text = text[:text.rfind('.')]
    text = text + '.'
    return text

for i in range(len(num_return_sequences)):
  print(all_prompts[i]['generated_text'])
```

You will get 10 text-to-video prompts, and you can pick one you like most.

# Demo