| --- |
| 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 |
|
|
