feat: Add diffusion finetuning CI pipeline for nightly runs#1728
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feat: Add diffusion finetuning CI pipeline for nightly runs#1728
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Signed-off-by: Pranav Prashant Thombre <pthombre@nvidia.com>
…antizer diffusers 0.36.0 has a bug where `logger` is used before definition in `quantizers/torchao/torchao_quantizer.py`, causing NameError on import when torchao is available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Signed-off-by: NeMo Bot <nemo-bot@nvidia.com>
Signed-off-by: Dong Hyuk Chang <9426164+thomasdhc@users.noreply.github.com>
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What does this PR do?
Adds a 4-stage CI pipeline (data download, preprocessing, finetuning, inference smoke test) for diffusion model nightly testing, starting with the Wan2.1-T2V-1.3B recipe.
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