| Filename | Latest commit message | Latest commit date |
|---|---|---|
| .. | ||
| count_visual_images.py | ||
| generate_bfl_images.py | ||
| materialize_lucent_loop.py | ||
| materialize_lucent_loop_continuation.py | ||
| README.md | ||
Ghostlight Scripts
Visual Image Inventory
count_visual_images.py counts base images and branch/state variants declared by
Ghostlight .visual.json plans. Use it before committing to an illustrated IF
fixture so the render burden is visible instead of quietly breeding in a vent.
Run the default inventory:
& 'C:\Users\Meta\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe' .\scripts\count_visual_images.py
Run with per-scene detail:
& 'C:\Users\Meta\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe' .\scripts\count_visual_images.py --verbose
BFL Image Batches
generate_bfl_images.py submits a compact prompt manifest to the BFL async
image API, polls the returned status URL, downloads signed results immediately,
and writes a local run manifest. Generated images belong under
experiments/images/, which is ignored by git.
Run the Corvid simple-prompt batch:
& 'C:\Users\Meta\.cache\codex-runtimes\codex-primary-runtime\dependencies\python\python.exe' .\scripts\generate_bfl_images.py .\prompts\image-generation\corvid-collective-founding.bfl-simple-prompts.v0.json --out-dir .\experiments\images\corvid-collective-founding-v0\bfl --skip-existing --continue-on-error