## Summary
LTX-2 (`ltx-core`, `ltx-pipelines`, `ltx-trainer`) is a third-party
dependency developed and provided by Lightricks. It is governed by the
[LTX Community License
Agreement](https://github.com/Lightricks/LTX-2/blob/main/LICENSE),
**not** the Apache 2.0 license that covers NVIDIA Model Optimizer. Per
legal guidance, all integration points must clearly surface this to
users.
- Add `[!WARNING]` license notice blocks at the top of all LTX-2-related
READMEs (`examples/diffusers`, `examples/diffusers/distillation`,
`examples/windows/diffusers/qad_example`)
- Add `warnings.warn(UserWarning)` at every LTX package import site in
Python files, covering both top-level and lazy imports:
- `examples/diffusers/distillation/distillation_trainer.py`
- `examples/diffusers/quantization/calibration.py`
- `examples/diffusers/quantization/pipeline_manager.py`
-
`examples/windows/diffusers/qad_example/sample_example_qad_diffusers.py`
- `modelopt/torch/export/diffusers_utils.py`
- `modelopt/torch/quantization/plugins/diffusion/ltx2.py`
- Add license notice comment to `requirements.txt` files that list LTX
packages, so the obligation is visible at install time
- Update `.github/CODEOWNERS` so all `requirements*.txt` files (covering
variants like `requirements-dev.txt`) are owned by
`@NVIDIA/modelopt-setup-codeowners` regardless of location, via a
last-match-wins rule
**Design notes:**
- For library files (`diffusers_utils.py`, `ltx2.py`), the warning is
placed at the lazy import site inside functions — it fires only when
LTX-2 code paths are actually invoked, not at module import time, to
avoid polluting non-LTX users
- For example entry-point scripts that are LTX-2-only, the warning fires
at module load time (after all imports, to satisfy ruff E402)
## Test plan
- [ ] Confirm `pre-commit run --all-files` passes (ruff, mypy,
markdownlint, bandit all clean)
- [ ] Verify warning appears at runtime when running an LTX-2
quantization or distillation example
- [ ] Confirm non-LTX code paths (FLUX, SDXL, SD3) do not emit the
warning
🤖 Generated with [Claude Code](https://claude.com/claude-code)
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Added third-party license notices across documentation and
requirements files clarifying LTX-2 packages are governed by the LTX
Community License Agreement rather than NVIDIA Model Optimizer's Apache
2.0 license.
* **Chores**
* Updated code ownership configuration for requirements files.
* Added runtime warnings to notify when LTX-2 dependencies are accessed.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
## What does this PR do?
**Type of change:** new example <!-- Use one of the following: Bug fix,
new feature, new example, new tests, documentation. -->
**Overview:**
Adding LTX-2 distillation trainer.
## Usage
<!-- You can potentially add a usage example below. -->
```bash
accelerate launch \
--config_file configs/accelerate/fsdp.yaml \
--num_processes 8 \
distillation_trainer.py --config configs/distillation_example.yaml
```
See readme for more details.
## Testing
Run training with single/multiple nodes.
## Before your PR is "*Ready for review*"
<!-- If you haven't finished some of the above items you can still open
`Draft` PR. -->
- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes <!--- If No, explain why.
-->
- **Did you write any new necessary tests?**: NA
- **Did you add or update any necessary documentation?**: Yes
- **Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**:
Yes <!--- Only for new features, API changes, critical bug fixes or bw
breaking changes. -->
## Additional Information
<!-- E.g. related issue. -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## New Features
* Added distillation training support for LTX-2 models with quantization
integration.
* Introduced comprehensive documentation and example configurations for
distillation workflows.
* Includes multi-GPU and multi-node training setup with distributed
training support and customizable configuration templates.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Meng Xin <mxin@nvidia.com>
