Add SCAIL-2 animation inference pipeline (Phase 4, ltx-pipelines)
Two-stage distilled inference pipeline that animates a character from a driving video, wiring the Phase 1-3 SCAIL-2 conditioning into a runnable CLI. - scail_animation.py: ScailAnimationPipeline (mirrors distilled.py) plus a pure, testable build_scail_conditionings that assembles VideoConditionByDrivingLatent + VideoConditionByMaskChannels (driving appended, mask on the trailing driving tokens), and a load_masks helper. main() + scail_animation_arg_parser add --driving-video / --mask-path / --mode / --driving-strength on top of the standard two-stage distilled parser. - LTXModelConfigurator now reads config `mask_conditioning_channels`, so a SCAIL-trained checkpoint whose config declares it builds the widened patchify_proj automatically — no runtime widening wrapper needed at inference. - CLAUDE.md pipeline table row. Verified on CPU (verify_phase4_pipeline.py): the module imports, the CLI parses the SCAIL flags, build_scail_conditionings grows the sequence and places the mask channels on the driving tokens (target stays zero), driving-only leaves cond_channels None, and the configurator honors mask_conditioning_channels (patchify_proj widened from config). End-to-end runs still need a GPU and a SCAIL-trained checkpoint. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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| # | 任務 | 狀態 | 備註 |
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| 4.1 | `scail_animation.py` pipeline + arg parser | ⬜ | 仿 `lipdub.py` |
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| 4.1 | configurator 讀 `mask_conditioning_channels` | ✅ | `LTXModelConfigurator` 兩分支 `config.get("mask_conditioning_channels",0)` → SCAIL checkpoint 自描述、載入自動加寬(不需 runtime widen wrapper) |
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| 4.2 | `ScailAnimationPipeline` + `build_scail_conditionings` | ✅ | `scail_animation.py`:仿 `distilled.py` 兩階段,注入 SCAIL driving+mask conditioning;`build_scail_conditionings` 為可測純函式;`load_masks` helper |
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| 4.3 | `scail_animation_arg_parser` + `main()` | ✅ | `utils/args.py`:在 `default_2_stage_distilled_arg_parser` 上加 `--driving-video/--mask-path/--mode/--driving-strength` |
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| 4.4 | CPU 驗證 + docs | ✅ | `verify_phase4_pipeline.py`:import、CLI round-trip、conditioning assembly(driving append + mask 在尾端)、configurator 自描述加寬;`ltx-pipelines/CLAUDE.md` pipeline 表格 row |
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| 4.5 | 實機端到端跑通 | ⬜ | 需 GPU + SCAIL-trained checkpoint(含 `mask_conditioning_channels` config + 訓練好的 patchify_proj + LoRA) |
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## 決議紀錄
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- **範圍**:先只做 Phase 1(推論期 PoC)。Phase 2+ 待 Phase 1 驗證後再討論。
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