| # LTX-2 Trainer |
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| This package provides tools and scripts for training and fine-tuning |
| Lightricks' **LTX-2** audio-video generation model. It enables LoRA training, full |
| fine-tuning, and training of video-to-video transformations (IC-LoRA) on custom datasets. |
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| ## 📖 Documentation |
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| All detailed guides and technical documentation are in the [docs](./docs/) directory: |
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| - [⚡ Quick Start Guide](docs/quick-start.md) |
| - [🎬 Dataset Preparation](docs/dataset-preparation.md) |
| - [🛠️ Training Modes](docs/training-modes.md) |
| - [⚙️ Configuration Reference](docs/configuration-reference.md) |
| - [🚀 Training Guide](docs/training-guide.md) |
| - [🧪 Inference Guide](../ltx-pipelines/README.md) |
| - [🔧 Utility Scripts](docs/utility-scripts.md) |
| - [📚 LTX-Core Documentation](../ltx-core/README.md) |
| - [🛡️ Troubleshooting Guide](docs/troubleshooting.md) |
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| ## 🔧 Requirements |
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| - **LTX-2 Model Checkpoint** - Local `.safetensors` file |
| - **Gemma Text Encoder** - Local Gemma model directory (required for LTX-2) |
| - **Linux with CUDA** - CUDA 13+ recommended for optimal performance |
| - **Nvidia GPU with 80GB+ VRAM** - Recommended for the standard config. For GPUs with 32GB VRAM (e.g., RTX 5090), |
| use the [low VRAM config](configs/ltx2_av_lora_low_vram.yaml) which enables INT8 quantization and other |
| memory optimizations |
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| ## 🤝 Contributing |
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| We welcome contributions from the community! Here's how you can help: |
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| - **Share Your Work**: If you've trained interesting LoRAs or achieved cool results, please share them with the |
| community. |
| - **Report Issues**: Found a bug or have a suggestion? Open an issue on GitHub. |
| - **Submit PRs**: Help improve the codebase with bug fixes or general improvements. |
| - **Feature Requests**: Have ideas for new features? Let us know through GitHub issues. |
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| ## 💬 Join the Community |
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| Have questions, want to share your results, or need real-time help? |
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| Join our [community Discord server](https://discord.gg/ltxplatform) to connect with other users and the development |
| team! |
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| - Get troubleshooting help |
| - Share your training results and workflows |
| - Collaborate on new ideas and features |
| - Stay up to date with announcements and updates |
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| We look forward to seeing you there! |
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| Happy training! 🎉 |
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