File size: 2,118 Bytes
7dbeac1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | # 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`
|