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
metadata
license: other
license_name: thestage-ai-proprietary
library_name: qlip
tags:
- tensorrt
- qlip
- thestage
- diffusion
- acceleration
- lora
Precompiled Engines by Qlip
Precompiled Qlip engines for accelerated diffusion model inference. Base model weights are not included.
For supported models, benchmarks, and usage instructions see 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
pip install huggingface-hub
huggingface-cli download TheStageAI/<repo-name> \
--local-dir ./engines \
--include "models/H100/<variant>/*"
Installation
# 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.