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| title: Candlestick Chart Diffusion | |
| emoji: π | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.44.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Candlestick Chart Diffusion Generator | |
| Generate candlestick chart images from text descriptions using a conditional diffusion model. | |
| ## Features | |
| - π¨ **Generate** candlestick charts from text prompts | |
| - ποΈ **Train** your own model on custom data | |
| - π **Load** pre-trained checkpoints | |
| ## Example Prompts | |
| - "bullish trend with high volatility" | |
| - "bearish reversal pattern" | |
| - "double bottom formation" | |
| - "sideways market consolidation" | |
| - "head and shoulders pattern" | |
| ## How to Use | |
| 1. **Generate Dataset**: Use the data generator script to create training data | |
| 2. **Train Model**: Upload dataset and train for 50+ epochs | |
| 3. **Generate Charts**: Enter a text prompt and generate! | |
| ## Model Architecture | |
| - **U-Net** with cross-attention for text conditioning | |
| - **Diffusion** with cosine noise schedule | |
| - **Text Encoder** with transformer layers | |