github-actions[bot]
70 lines
1.5 KiB
Plaintext
70 lines
1.5 KiB
Plaintext
# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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checkpoints/
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*.egg-info
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# Virtual environments
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.venv
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.python-version
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# IDE settings
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.idea/
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.vscode/
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# Other files
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.DS_Store
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.wandb
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projects/
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tmp
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wandb/
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# Model checkpoints
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*.ckpt
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*.pt
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*.safetensors
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*.sft
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# Media files
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*.exr
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*.gif
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*.heic
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*.heif
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*.jpg
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*.jpeg
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*.json
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*.m4a
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*.mov
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*.mp3
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*.mp4
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*.png
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*.wav
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*.webp
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# HDR IC-LoRA e2e test baseline (checked in via Git LFS)
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!packages/ltx-pipelines/tests/assets/expected_hdr_ic_lora_exr/frame_*.exr
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!packages/ltx-pipelines/tests/assets/hdr_ic_lora_test_input.mp4
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# Text-to-audio (T2A) e2e test baseline (checked in via Git LFS)
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!packages/ltx-pipelines/tests/assets/expected_t2a_one_stage_ltx2_3.wav
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# ltx-bench Grafana dashboards (source of truth in the repo)
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!packages/ltx-bench/grafana/*.json
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# ltx-trainer E2E test dataset (committed via Git LFS).
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# The target_audio/ and reference_audio/ subdirectories are populated lazily at test runtime
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# (high-bitrate MP3 extracted from target_videos, plus a low-bitrate MP3 reference); their
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# contents stay gitignored via the root *.mp3 rule above.
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!packages/ltx-trainer/tests/assets/test_dataset/dataset.json
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!packages/ltx-trainer/tests/assets/test_dataset/target_videos/*.mp4
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!packages/ltx-trainer/tests/assets/test_dataset/reference_videos/*.mp4
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!packages/ltx-trainer/tests/assets/test_dataset/conditioning/first_frame.jpg
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!packages/ltx-trainer/tests/assets/test_dataset/conditioning/video_mask.png
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!packages/ltx-trainer/tests/assets/test_dataset/conditioning/audio_mask.pt
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# Binary files
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*.so
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