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ad-astra-video/LTX-Loras
LTX-Loras is a machine learning model from ad-astra-video. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A curated collection of LTX LoRAs, pre-packaged for the video-creator runner.
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Updated Aug 23, 2026
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From the Hugging Face model README
A curated collection of LTX LoRAs, pre-packaged for the video-creator runner.
Every adapter here is ready to load out of the box: keys are in the
ltx-pipelines / Lightricks format that the video-creator LTX worker fuses
(.lora_A.weight / .lora_B.weight under a diffusion_model. prefix), so no
code changes or conversion are needed — just point the runner's LoRA catalog at
this repo.
catalog.json # machine-readable registry (lora_catalog.json schema v1)
<ltx-version>/
<lora-name>/
lora.safetensors # runnable adapter
README.md # per-LoRA notes (base, upstream, usage)
The catalog.json in the repo root is the machine-readable
index: the video-creator runner (LTX-2.3) can consume it directly as
LORA_CATALOG_SOURCE, or you can merge entries into the app's own catalog.
| id | base | what it does | upstream |
|---|---|---|---|
vbvr-video-reasoning | LTX-2.3 | video reasoning (motion/interaction/causality) | Video-Reason/VBVR-LTX2.3-diffsynth |
More adapters are added under their own 2.x/<name>/ folders as they're
on-boarded.
Point the LTX worker at this repo's catalog:
LORA_CATALOG_SOURCE=https://huggingface.co/ad-astra-video/LTX-Loras/resolve/main/catalog.json
Then reference a LoRA by its catalog id (e.g. vbvr-video-reasoning) in the
frontend / runner request. All files are public — no HF login required.