# Script-LoRA → MiniMax H3 format ## Data locations | Path | Role | |------|------| | `../scriptlib/` | **102 screenplays** (`.txt`) — original training library | | `../TVTropesData/` | Trope/title tables for scenario variety | | `../final/` | Existing PEFT adapter (story craft + tropes, classic screenplay style) | | `train_dataset.jsonl` | Hand-written H3 seed examples | | `train_dataset.full.jsonl` | Built from scriptlib (+ tropes + seed) | ## Recommended path (continue-train, not merge-from-scratch) The existing `final/` adapter already holds script + TVTropes knowledge. You do **not** need a LoRA merge of two adapters unless you train a separate format-only adapter. Prefer: ```bash cd /home/bbear/Documents/OlympusServer/models/script-lora/h3-format # Use the OlympusServer venv (system python lacks datasets/trl/peft) VENV=/home/bbear/Documents/OlympusServer/.venv/bin/python # 1) Build SFT rows from scriptlib (rewrite + premise) + TVTropes seeds $VENV build_sft_from_scriptlib.py \ --include-seed \ --chunks-per-script 4 \ --tropes 80 \ --out train_dataset.full.jsonl # 2) Continue-train from final/ → h3-v1 (does not overwrite final/) # This host: torch is XPU-only → use --device xpu (not cuda) $VENV train_script_lora_h3.py \ --dataset train_dataset.full.jsonl \ --init-from ../final \ --epochs 2 \ --lr 1e-4 \ --device xpu ``` Output: `../h3-v1/`. Point the generation slot at that adapter after validation. ### Why not “merge” alone? - **Weighted LoRA merge** needs two trained adapters. Today you have one (`final/`). - **Continue-train** from `final/` on H3-format chat data is the practical merge of *skills*: old weights + new format supervision. - Optional later: train a thin format-only LoRA and `add_weighted_adapter` with `final/`. ## Runtime (already live without retrain) Backlot system prompts emit H3 FL2VA fields regardless of adapter: - `backend/services/h3_prompt_format.py` - `/generate/script`, `/generate/script/scene` → `h3_video_prompt`, `storyboard_prompt` Guides: `optimization/h3-shrink/docs/VIDEO_PROMPT_{base,ref}-en.txt`