Instructions to use TheStageAI/Elastic-LTX-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use TheStageAI/Elastic-LTX-2 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: other | |
| license_name: thestage-ai-proprietary | |
| library_name: qlip | |
| tags: | |
| - tensorrt | |
| - qlip | |
| - thestage | |
| - diffusion | |
| - acceleration | |
| - lora | |
| # Precompiled Engines by Qlip | |
| Precompiled [Qlip](https://thestage.ai) engines for accelerated diffusion model inference. Base model weights are **not** included. | |
| For supported models, benchmarks, and usage instructions see [ComfyUI-Qlip](https://github.com/TheStageAI/ComfyUI-Qlip). | |
| ## Usage | |
| ### ComfyUI (automatic download) | |
| In the **Qlip Engines Loader** node, set the `hf_repo` input. Engines are downloaded once and cached locally. | |
| ### Manual download | |
| ```bash | |
| pip install huggingface-hub | |
| huggingface-cli download TheStageAI/<repo-name> \ | |
| --local-dir ./engines \ | |
| --include "models/H100/<variant>/*" | |
| ``` | |
| ## Installation | |
| ```bash | |
| # Qlip core | |
| pip install 'qlip.core[nvidia]' \ | |
| --extra-index-url https://thestage.jfrog.io/artifactory/api/pypi/pypi-thestage-ai-production/simple | |
| ``` | |
| ## Requirements | |
| - NVIDIA GPU with CUDA 12.x | |
| - TensorRT 10.13.3.9 (must match compilation version) | |
| - Engines are GPU-architecture specific — recompile after changing hardware | |
| ## License | |
| Proprietary. Powered by [TheStage AI](https://thestage.ai). | |