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
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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).
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