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Zero
| 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 | |