Instructions to use DeepBeepMeep/LTX-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/LTX-2 with Diffusion Single File:
# 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
You will find here all the LTX-2 Video models used with WanGP.
LTX-2.5
WanGP provides LTX-2.5 Dev and Distilled in BF16 and INT8 ConvRot, plus the official Distilled NVFP4 variant. Large upstream bundles are split into independently offloadable transformer, Gemma 4, text-projection, video/audio connector, VAE, vocoder, and upscaler files. Dev and Distilled share connector files only where their tensors were verified identical; NVFP4 has checkpoint-specific connectors.
See LTX-2.5-MANIFEST.md for the runtime file map and LICENSE-LTX-2.5.txt for the upstream license. The split files preserve the original tensor values; their metadata records the WanGP packaging modification.
WanGP by DeepBeepMeep makes leading open-source video generative models accessible to the GPU poor, with low VRAM modes, support for older GPUs, automatic model downloads, queues, integrated media tools, and LoRA workflows.
Discord: https://discord.gg/g7efUW9jGV
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Model tree for DeepBeepMeep/LTX-2
Base model
Lightricks/LTX-2