|
|
--- |
|
|
title: Text2Motion Prompter |
|
|
emoji: 🎬 |
|
|
colorFrom: purple |
|
|
colorTo: blue |
|
|
sdk: gradio |
|
|
sdk_version: 5.9.1 |
|
|
app_file: app.py |
|
|
pinned: false |
|
|
short_description: Transform action descriptions into structured motion prompts |
|
|
license: mit |
|
|
tags: |
|
|
- motion-generation |
|
|
- text-to-motion |
|
|
- animation |
|
|
- 3d-motion |
|
|
--- |
|
|
|
|
|
# 🎬 Text2Motion Prompter |
|
|
|
|
|
Transform action descriptions into structured motion prompts for 3D animation systems. |
|
|
|
|
|
## Features |
|
|
|
|
|
- **Duration Estimation**: Analyzes action complexity to estimate execution time in frames (30fps) |
|
|
- **Caption Refinement**: Generates refined, grammatically correct English descriptions |
|
|
- **Multi-language Support**: Accepts inputs in multiple languages (English, Chinese, etc.) |
|
|
- **ZeroGPU Powered**: Utilizes Hugging Face's ZeroGPU for efficient inference |
|
|
|
|
|
## Usage |
|
|
|
|
|
1. Enter an action description in the input field (e.g., "walking forward", "跳跃") |
|
|
2. Adjust the max tokens if needed |
|
|
3. Click "Generate Motion Prompt" |
|
|
4. Get a structured JSON response with duration and refined caption |
|
|
|
|
|
## Output Format |
|
|
|
|
|
```json |
|
|
{ |
|
|
"duration": 90, |
|
|
"short_caption": "A person walks forward at a steady pace." |
|
|
} |
|
|
``` |
|
|
|
|
|
## Model |
|
|
|
|
|
This Space uses the [Text2MotionPrompter](https://huggingface.co/Text2MotionPrompter/Text2MotionPrompter) model. |
|
|
|
|
|
## License |
|
|
|
|
|
MIT License |
|
|
|
